From 40f1f529b0ebc7a571af6be3ca9df67cd5480d66 Mon Sep 17 00:00:00 2001
From: yhliang <429259365@qq.com>
Date: 星期四, 20 四月 2023 16:48:26 +0800
Subject: [PATCH] add m2met2 registration form

---
 docs_m2met2_cn/数据集.md                                                |    4 +-
 docs_m2met2/_build/html/Organizers.html                              |    2 
 docs_m2met2_cn/_build/html/_sources/简介.md.txt                        |    2 +
 docs_m2met2_cn/_build/doctrees/赛道设置与评估.doctree                       |    0 
 docs_m2met2/_build/doctrees/environment.pickle                       |    0 
 docs_m2met2/_build/html/search.html                                  |    2 
 docs_m2met2_cn/_build/html/规则.html                                   |    2 
 docs_m2met2/_build/doctrees/Track_setting_and_evaluation.doctree     |    0 
 docs_m2met2_cn/_build/html/searchindex.js                            |    2 
 docs_m2met2/_build/html/_sources/Introduction.md.txt                 |    4 +
 docs_m2met2/_build/html/_sources/Track_setting_and_evaluation.md.txt |    4 +-
 docs_m2met2/_build/html/Baseline.html                                |    2 
 docs_m2met2/_build/doctrees/Introduction.doctree                     |    0 
 docs_m2met2_cn/_build/doctrees/简介.doctree                            |    0 
 docs_m2met2/_build/html/index.html                                   |    2 
 docs_m2met2_cn/_build/html/组委会.html                                  |    2 
 docs_m2met2_cn/_build/html/index.html                                |    2 
 docs_m2met2_cn/赛道设置与评估.md                                            |    6 +-
 docs_m2met2/_build/html/Dataset.html                                 |    4 +-
 docs_m2met2/_build/html/searchindex.js                               |    2 
 docs_m2met2_cn/_build/doctrees/environment.pickle                    |    0 
 docs_m2met2_cn/_build/doctrees/数据集.doctree                           |    0 
 docs_m2met2_cn/_build/html/简介.html                                   |    3 +
 docs_m2met2_cn/_build/html/genindex.html                             |    2 
 docs_m2met2_cn/_build/html/赛道设置与评估.html                              |    8 ++--
 docs_m2met2_cn/_build/html/search.html                               |    2 
 docs_m2met2_cn/_build/html/基线.html                                   |    2 
 docs_m2met2_cn/_build/html/数据集.html                                  |    6 +-
 docs_m2met2/Dataset.md                                               |    2 
 docs_m2met2_cn/_build/html/_sources/数据集.md.txt                       |    4 +-
 docs_m2met2/Track_setting_and_evaluation.md                          |    4 +-
 docs_m2met2/_build/html/Track_setting_and_evaluation.html            |    8 ++--
 docs_m2met2/Introduction.md                                          |    4 +
 docs_m2met2/_build/html/_sources/Dataset.md.txt                      |    2 
 docs_m2met2/_build/html/genindex.html                                |    2 
 docs_m2met2_cn/_build/html/联系方式.html                                 |    2 
 docs_m2met2_cn/_build/html/_sources/赛道设置与评估.md.txt                   |    6 +-
 docs_m2met2/_build/doctrees/Dataset.doctree                          |    0 
 docs_m2met2/_build/html/Rules.html                                   |    2 
 docs_m2met2/_build/html/Contact.html                                 |    2 
 docs_m2met2_cn/简介.md                                                 |    2 +
 docs_m2met2/_build/html/Introduction.html                            |    5 +-
 42 files changed, 60 insertions(+), 50 deletions(-)

diff --git a/docs_m2met2/Dataset.md b/docs_m2met2/Dataset.md
index c987aca..a897d67 100644
--- a/docs_m2met2/Dataset.md
+++ b/docs_m2met2/Dataset.md
@@ -2,7 +2,7 @@
 ## Overview of training data
 In the fixed training condition, the training dataset is restricted to three publicly available corpora, namely, AliMeeting, AISHELL-4, and CN-Celeb. To evaluate the performance of the models trained on these datasets, we will release a new Test set called Test-2023 for scoring and ranking. We will describe the AliMeeting dataset and the Test-2023 set in detail.
 ## Detail of AliMeeting corpus
-AliMeeting contains 118.75 hours of speech data in total. The dataset is divided into 104.75 hours for training (Train), 4 hours for evaluation (Eval) and 10 hours as test set (Test) for scoring and ranking. Specifically, the Train and Eval sets contain 212 and 8 sessions, respectively. Each session consists of a 15 to 30-minute discussion by a group of participants. The total number of participants in Train and Eval sets is 456 and 25, respectively, with balanced gender coverage.
+AliMeeting contains 118.75 hours of speech data in total. The dataset is divided into 104.75 hours for training (Train), 4 hours for evaluation (Eval) and 10 hours as test set (Test) for scoring and ranking. Specifically, the Train, Eval and Test sets contain 212, 8 and 20 sessions, respectively. Each session consists of a 15 to 30-minute discussion by a group of participants. The total number of participants in Train, Eval and Test sets is 456, 25 and 60, respectively, with balanced gender coverage.
 
 The dataset is collected in 13 meeting venues, which are categorized into three types: small, medium, and large rooms with sizes ranging from 8 m$^{2}$ to 55 m$^{2}$. Different rooms give us a variety of acoustic properties and layouts. The detailed parameters of each meeting venue will be released together with the Train data. The type of wall material of the meeting venues covers cement, glass, etc. Other furnishings in meeting venues include sofa, TV, blackboard, fan, air conditioner, plants, etc. During recording, the participants of the meeting sit around the microphone array which is placed on the table and conduct a natural conversation. The microphone-speaker distance ranges from 0.3 m to 5.0 m. All participants are native Chinese speakers speaking Mandarin without strong accents. During the meeting, various kinds of indoor noise including but not limited to clicking, keyboard, door opening/closing, fan, bubble noise, etc., are made naturally. For both Train and Eval sets, the participants are required to remain in the same position during recording. There is no speaker overlap between the Train and Eval set. An example of the recording venue from the Train set is shown in Fig 1.
 
diff --git a/docs_m2met2/Introduction.md b/docs_m2met2/Introduction.md
index e1f9fc7..b7f783e 100644
--- a/docs_m2met2/Introduction.md
+++ b/docs_m2met2/Introduction.md
@@ -20,6 +20,8 @@
 
 ## Guidelines
 
-Interested participants, whether from academia or industry, must register for the challenge by completing a Google form, which will be available here. The deadline for registration is May 5, 2023. 
+Interested participants, whether from academia or industry, must register for the challenge by completing the Google form below. The deadline for registration is May 5, 2023. 
+
+[M2MET2.0 Registration](https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link)
 
 Within three working days, the challenge organizer will send email invitations to eligible teams to participate in the challenge. All qualified teams are required to adhere to the challenge rules, which will be published on the challenge page. Prior to the ranking release time, each participant must submit a system description document detailing their approach and methods. The organizer will select the top three submissions to be included in the ASRU2023 Proceedings. 
diff --git a/docs_m2met2/Track_setting_and_evaluation.md b/docs_m2met2/Track_setting_and_evaluation.md
index b90c17a..2b75fca 100644
--- a/docs_m2met2/Track_setting_and_evaluation.md
+++ b/docs_m2met2/Track_setting_and_evaluation.md
@@ -1,6 +1,6 @@
 # Track & Evaluation 
-## Speaker-Attributed ASR (Main Track)
-The speaker-attributed ASR task poses a unique challenge of transcribing speech from multiple speakers and assigning a speaker label to the transcription. Figure 2 illustrates the difference between the speaker-attributed ASR task and the multi-speaker ASR task. This track allows for the use of the AliMeeting, Aishell4, and Cn-Celeb datasets as constrained data sources during both training and evaluation. The AliMeeting dataset, which was used in the M2MeT challenge, includes Train, Eval, and Test sets. Additionally, a new Test-2023 set, consisting of approximately 10 hours of meeting data recorded in an identical acoustic setting as the AliMeeting corpus, will be released soon for challenge scoring and ranking. It's worth noting that the organizers will not provide the near-field audio, transcriptions, or oracle timestamps. Instead, segments containing multiple speakers will be provided on the Test-2023 set, which can be obtained using a simple voice activity detection (VAD) model.
+## Speaker-Attributed ASR
+The speaker-attributed ASR task poses a unique challenge of transcribing speech from multiple speakers and assigning a speaker label to the transcription. Figure 2 illustrates the difference between the speaker-attributed ASR task and the multi-speaker ASR task. This track allows for the use of the AliMeeting, Aishell4, and Cn-Celeb datasets as constrained data sources during both training and evaluation. The AliMeeting dataset, which was used in the M2MeT challenge, includes Train, Eval, and Test sets. Additionally, a new Test-2023 set, consisting of approximately 10 hours of meeting data recorded in an identical acoustic setting as the AliMeeting corpus, will be released soon for challenge scoring and ranking. It's worth noting that the organizers will not provide the near-field audio, transcriptions, or oracle timestamps of the Test-2023 set. Instead, segments containing multiple speakers will be provided, which can be obtained using a simple voice activity detection (VAD) model.
 
 ![task difference](images/task_diff.png)
 
diff --git a/docs_m2met2/_build/doctrees/Dataset.doctree b/docs_m2met2/_build/doctrees/Dataset.doctree
index b5d9e8b..49021e6 100644
--- a/docs_m2met2/_build/doctrees/Dataset.doctree
+++ b/docs_m2met2/_build/doctrees/Dataset.doctree
Binary files differ
diff --git a/docs_m2met2/_build/doctrees/Introduction.doctree b/docs_m2met2/_build/doctrees/Introduction.doctree
index e80c8f4..d8e58af 100644
--- a/docs_m2met2/_build/doctrees/Introduction.doctree
+++ b/docs_m2met2/_build/doctrees/Introduction.doctree
Binary files differ
diff --git a/docs_m2met2/_build/doctrees/Track_setting_and_evaluation.doctree b/docs_m2met2/_build/doctrees/Track_setting_and_evaluation.doctree
index 5829a02..7195867 100644
--- a/docs_m2met2/_build/doctrees/Track_setting_and_evaluation.doctree
+++ b/docs_m2met2/_build/doctrees/Track_setting_and_evaluation.doctree
Binary files differ
diff --git a/docs_m2met2/_build/doctrees/environment.pickle b/docs_m2met2/_build/doctrees/environment.pickle
index 3fd14ad..137f599 100644
--- a/docs_m2met2/_build/doctrees/environment.pickle
+++ b/docs_m2met2/_build/doctrees/environment.pickle
Binary files differ
diff --git a/docs_m2met2/_build/html/Baseline.html b/docs_m2met2/_build/html/Baseline.html
index 8893a16..e52d322 100644
--- a/docs_m2met2/_build/html/Baseline.html
+++ b/docs_m2met2/_build/html/Baseline.html
@@ -88,7 +88,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
diff --git a/docs_m2met2/_build/html/Contact.html b/docs_m2met2/_build/html/Contact.html
index 44546d5..eafd2d5 100644
--- a/docs_m2met2/_build/html/Contact.html
+++ b/docs_m2met2/_build/html/Contact.html
@@ -84,7 +84,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
diff --git a/docs_m2met2/_build/html/Dataset.html b/docs_m2met2/_build/html/Dataset.html
index 88531f6..43bf8a1 100644
--- a/docs_m2met2/_build/html/Dataset.html
+++ b/docs_m2met2/_build/html/Dataset.html
@@ -89,7 +89,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
@@ -131,7 +131,7 @@
 </section>
 <section id="detail-of-alimeeting-corpus">
 <h2>Detail of AliMeeting corpus<a class="headerlink" href="#detail-of-alimeeting-corpus" title="Permalink to this heading">露</a></h2>
-<p>AliMeeting contains 118.75 hours of speech data in total. The dataset is divided into 104.75 hours for training (Train), 4 hours for evaluation (Eval) and 10 hours as test set (Test) for scoring and ranking. Specifically, the Train and Eval sets contain 212 and 8 sessions, respectively. Each session consists of a 15 to 30-minute discussion by a group of participants. The total number of participants in Train and Eval sets is 456 and 25, respectively, with balanced gender coverage.</p>
+<p>AliMeeting contains 118.75 hours of speech data in total. The dataset is divided into 104.75 hours for training (Train), 4 hours for evaluation (Eval) and 10 hours as test set (Test) for scoring and ranking. Specifically, the Train, Eval and Test sets contain 212, 8 and 20 sessions, respectively. Each session consists of a 15 to 30-minute discussion by a group of participants. The total number of participants in Train, Eval and Test sets is 456, 25 and 60, respectively, with balanced gender coverage.</p>
 <p>The dataset is collected in 13 meeting venues, which are categorized into three types: small, medium, and large rooms with sizes ranging from 8 m<span class="math notranslate nohighlight">\(^{2}\)</span> to 55 m<span class="math notranslate nohighlight">\(^{2}\)</span>. Different rooms give us a variety of acoustic properties and layouts. The detailed parameters of each meeting venue will be released together with the Train data. The type of wall material of the meeting venues covers cement, glass, etc. Other furnishings in meeting venues include sofa, TV, blackboard, fan, air conditioner, plants, etc. During recording, the participants of the meeting sit around the microphone array which is placed on the table and conduct a natural conversation. The microphone-speaker distance ranges from 0.3 m to 5.0 m. All participants are native Chinese speakers speaking Mandarin without strong accents. During the meeting, various kinds of indoor noise including but not limited to clicking, keyboard, door opening/closing, fan, bubble noise, etc., are made naturally. For both Train and Eval sets, the participants are required to remain in the same position during recording. There is no speaker overlap between the Train and Eval set. An example of the recording venue from the Train set is shown in Fig 1.</p>
 <p><img alt="meeting room" src="_images/meeting_room.png" /></p>
 <p>The number of participants within one meeting session ranges from 2 to 4. To ensure the coverage of different overlap ratios, we select various meeting topics during recording, including medical treatment, education, business, organization management, industrial production and other daily routine meetings. The average speech overlap ratio of Train, Eval and Test sets are 42.27%, 34.76% and 42.8%, respectively. More details of AliMeeting are shown in Table 1. A detailed overlap ratio distribution of meeting sessions with different numbers of speakers in the Train, Eval and Test set is shown in Table 2.</p>
diff --git a/docs_m2met2/_build/html/Introduction.html b/docs_m2met2/_build/html/Introduction.html
index d75fa95..a195068 100644
--- a/docs_m2met2/_build/html/Introduction.html
+++ b/docs_m2met2/_build/html/Introduction.html
@@ -89,7 +89,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
@@ -146,7 +146,8 @@
 </section>
 <section id="guidelines">
 <h2>Guidelines<a class="headerlink" href="#guidelines" title="Permalink to this heading">露</a></h2>
-<p>Interested participants, whether from academia or industry, must register for the challenge by completing a Google form, which will be available here. The deadline for registration is May 5, 2023.</p>
+<p>Interested participants, whether from academia or industry, must register for the challenge by completing the Google form below. The deadline for registration is May 5, 2023.</p>
+<p><a class="reference external" href="https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link">M2MET2.0 registration</a></p>
 <p>Within three working days, the challenge organizer will send email invitations to eligible teams to participate in the challenge. All qualified teams are required to adhere to the challenge rules, which will be published on the challenge page. Prior to the ranking release time, each participant must submit a system description document detailing their approach and methods. The organizer will select the top three submissions to be included in the ASRU2023 Proceedings.</p>
 </section>
 </section>
diff --git a/docs_m2met2/_build/html/Organizers.html b/docs_m2met2/_build/html/Organizers.html
index f66c037..0a8811e 100644
--- a/docs_m2met2/_build/html/Organizers.html
+++ b/docs_m2met2/_build/html/Organizers.html
@@ -88,7 +88,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
diff --git a/docs_m2met2/_build/html/Rules.html b/docs_m2met2/_build/html/Rules.html
index 3d2bdde..8eef8aa 100644
--- a/docs_m2met2/_build/html/Rules.html
+++ b/docs_m2met2/_build/html/Rules.html
@@ -88,7 +88,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
diff --git a/docs_m2met2/_build/html/Track_setting_and_evaluation.html b/docs_m2met2/_build/html/Track_setting_and_evaluation.html
index f377ee5..859f444 100644
--- a/docs_m2met2/_build/html/Track_setting_and_evaluation.html
+++ b/docs_m2met2/_build/html/Track_setting_and_evaluation.html
@@ -89,7 +89,7 @@
 </ul>
 </li>
 <li class="toctree-l1 current"><a class="current reference internal" href="#">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
@@ -125,9 +125,9 @@
             
   <section id="track-evaluation">
 <h1>Track &amp; Evaluation<a class="headerlink" href="#track-evaluation" title="Permalink to this heading">露</a></h1>
-<section id="speaker-attributed-asr-main-track">
-<h2>Speaker-Attributed ASR (Main Track)<a class="headerlink" href="#speaker-attributed-asr-main-track" title="Permalink to this heading">露</a></h2>
-<p>The speaker-attributed ASR task poses a unique challenge of transcribing speech from multiple speakers and assigning a speaker label to the transcription. Figure 2 illustrates the difference between the speaker-attributed ASR task and the multi-speaker ASR task. This track allows for the use of the AliMeeting, Aishell4, and Cn-Celeb datasets as constrained data sources during both training and evaluation. The AliMeeting dataset, which was used in the M2MeT challenge, includes Train, Eval, and Test sets. Additionally, a new Test-2023 set, consisting of approximately 10 hours of meeting data recorded in an identical acoustic setting as the AliMeeting corpus, will be released soon for challenge scoring and ranking. It鈥檚 worth noting that the organizers will not provide the near-field audio, transcriptions, or oracle timestamps. Instead, segments containing multiple speakers will be provided on the Test-2023 set, which can be obtained using a simple voice activity detection (VAD) model.</p>
+<section id="speaker-attributed-asr">
+<h2>Speaker-Attributed ASR<a class="headerlink" href="#speaker-attributed-asr" title="Permalink to this heading">露</a></h2>
+<p>The speaker-attributed ASR task poses a unique challenge of transcribing speech from multiple speakers and assigning a speaker label to the transcription. Figure 2 illustrates the difference between the speaker-attributed ASR task and the multi-speaker ASR task. This track allows for the use of the AliMeeting, Aishell4, and Cn-Celeb datasets as constrained data sources during both training and evaluation. The AliMeeting dataset, which was used in the M2MeT challenge, includes Train, Eval, and Test sets. Additionally, a new Test-2023 set, consisting of approximately 10 hours of meeting data recorded in an identical acoustic setting as the AliMeeting corpus, will be released soon for challenge scoring and ranking. It鈥檚 worth noting that the organizers will not provide the near-field audio, transcriptions, or oracle timestamps of the Test-2023 set. Instead, segments containing multiple speakers will be provided, which can be obtained using a simple voice activity detection (VAD) model.</p>
 <p><img alt="task difference" src="_images/task_diff.png" /></p>
 </section>
 <section id="evaluation-metric">
diff --git a/docs_m2met2/_build/html/_sources/Dataset.md.txt b/docs_m2met2/_build/html/_sources/Dataset.md.txt
index c987aca..a897d67 100644
--- a/docs_m2met2/_build/html/_sources/Dataset.md.txt
+++ b/docs_m2met2/_build/html/_sources/Dataset.md.txt
@@ -2,7 +2,7 @@
 ## Overview of training data
 In the fixed training condition, the training dataset is restricted to three publicly available corpora, namely, AliMeeting, AISHELL-4, and CN-Celeb. To evaluate the performance of the models trained on these datasets, we will release a new Test set called Test-2023 for scoring and ranking. We will describe the AliMeeting dataset and the Test-2023 set in detail.
 ## Detail of AliMeeting corpus
-AliMeeting contains 118.75 hours of speech data in total. The dataset is divided into 104.75 hours for training (Train), 4 hours for evaluation (Eval) and 10 hours as test set (Test) for scoring and ranking. Specifically, the Train and Eval sets contain 212 and 8 sessions, respectively. Each session consists of a 15 to 30-minute discussion by a group of participants. The total number of participants in Train and Eval sets is 456 and 25, respectively, with balanced gender coverage.
+AliMeeting contains 118.75 hours of speech data in total. The dataset is divided into 104.75 hours for training (Train), 4 hours for evaluation (Eval) and 10 hours as test set (Test) for scoring and ranking. Specifically, the Train, Eval and Test sets contain 212, 8 and 20 sessions, respectively. Each session consists of a 15 to 30-minute discussion by a group of participants. The total number of participants in Train, Eval and Test sets is 456, 25 and 60, respectively, with balanced gender coverage.
 
 The dataset is collected in 13 meeting venues, which are categorized into three types: small, medium, and large rooms with sizes ranging from 8 m$^{2}$ to 55 m$^{2}$. Different rooms give us a variety of acoustic properties and layouts. The detailed parameters of each meeting venue will be released together with the Train data. The type of wall material of the meeting venues covers cement, glass, etc. Other furnishings in meeting venues include sofa, TV, blackboard, fan, air conditioner, plants, etc. During recording, the participants of the meeting sit around the microphone array which is placed on the table and conduct a natural conversation. The microphone-speaker distance ranges from 0.3 m to 5.0 m. All participants are native Chinese speakers speaking Mandarin without strong accents. During the meeting, various kinds of indoor noise including but not limited to clicking, keyboard, door opening/closing, fan, bubble noise, etc., are made naturally. For both Train and Eval sets, the participants are required to remain in the same position during recording. There is no speaker overlap between the Train and Eval set. An example of the recording venue from the Train set is shown in Fig 1.
 
diff --git a/docs_m2met2/_build/html/_sources/Introduction.md.txt b/docs_m2met2/_build/html/_sources/Introduction.md.txt
index e1f9fc7..27322de 100644
--- a/docs_m2met2/_build/html/_sources/Introduction.md.txt
+++ b/docs_m2met2/_build/html/_sources/Introduction.md.txt
@@ -20,6 +20,8 @@
 
 ## Guidelines
 
-Interested participants, whether from academia or industry, must register for the challenge by completing a Google form, which will be available here. The deadline for registration is May 5, 2023. 
+Interested participants, whether from academia or industry, must register for the challenge by completing the Google form below. The deadline for registration is May 5, 2023. 
+
+[M2MET2.0 registration](https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link)
 
 Within three working days, the challenge organizer will send email invitations to eligible teams to participate in the challenge. All qualified teams are required to adhere to the challenge rules, which will be published on the challenge page. Prior to the ranking release time, each participant must submit a system description document detailing their approach and methods. The organizer will select the top three submissions to be included in the ASRU2023 Proceedings. 
diff --git a/docs_m2met2/_build/html/_sources/Track_setting_and_evaluation.md.txt b/docs_m2met2/_build/html/_sources/Track_setting_and_evaluation.md.txt
index b90c17a..2b75fca 100644
--- a/docs_m2met2/_build/html/_sources/Track_setting_and_evaluation.md.txt
+++ b/docs_m2met2/_build/html/_sources/Track_setting_and_evaluation.md.txt
@@ -1,6 +1,6 @@
 # Track & Evaluation 
-## Speaker-Attributed ASR (Main Track)
-The speaker-attributed ASR task poses a unique challenge of transcribing speech from multiple speakers and assigning a speaker label to the transcription. Figure 2 illustrates the difference between the speaker-attributed ASR task and the multi-speaker ASR task. This track allows for the use of the AliMeeting, Aishell4, and Cn-Celeb datasets as constrained data sources during both training and evaluation. The AliMeeting dataset, which was used in the M2MeT challenge, includes Train, Eval, and Test sets. Additionally, a new Test-2023 set, consisting of approximately 10 hours of meeting data recorded in an identical acoustic setting as the AliMeeting corpus, will be released soon for challenge scoring and ranking. It's worth noting that the organizers will not provide the near-field audio, transcriptions, or oracle timestamps. Instead, segments containing multiple speakers will be provided on the Test-2023 set, which can be obtained using a simple voice activity detection (VAD) model.
+## Speaker-Attributed ASR
+The speaker-attributed ASR task poses a unique challenge of transcribing speech from multiple speakers and assigning a speaker label to the transcription. Figure 2 illustrates the difference between the speaker-attributed ASR task and the multi-speaker ASR task. This track allows for the use of the AliMeeting, Aishell4, and Cn-Celeb datasets as constrained data sources during both training and evaluation. The AliMeeting dataset, which was used in the M2MeT challenge, includes Train, Eval, and Test sets. Additionally, a new Test-2023 set, consisting of approximately 10 hours of meeting data recorded in an identical acoustic setting as the AliMeeting corpus, will be released soon for challenge scoring and ranking. It's worth noting that the organizers will not provide the near-field audio, transcriptions, or oracle timestamps of the Test-2023 set. Instead, segments containing multiple speakers will be provided, which can be obtained using a simple voice activity detection (VAD) model.
 
 ![task difference](images/task_diff.png)
 
diff --git a/docs_m2met2/_build/html/genindex.html b/docs_m2met2/_build/html/genindex.html
index 0071a18..e7e17b6 100644
--- a/docs_m2met2/_build/html/genindex.html
+++ b/docs_m2met2/_build/html/genindex.html
@@ -79,7 +79,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
diff --git a/docs_m2met2/_build/html/index.html b/docs_m2met2/_build/html/index.html
index acd0d32..dcbb8cb 100644
--- a/docs_m2met2/_build/html/index.html
+++ b/docs_m2met2/_build/html/index.html
@@ -84,7 +84,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
diff --git a/docs_m2met2/_build/html/search.html b/docs_m2met2/_build/html/search.html
index 344ad95..71adf36 100644
--- a/docs_m2met2/_build/html/search.html
+++ b/docs_m2met2/_build/html/search.html
@@ -72,7 +72,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="Track_setting_and_evaluation.html">Track &amp; Evaluation</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr-main-track">Speaker-Attributed ASR (Main Track)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#speaker-attributed-asr">Speaker-Attributed ASR</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#evaluation-metric">Evaluation metric</a></li>
 <li class="toctree-l2"><a class="reference internal" href="Track_setting_and_evaluation.html#sub-track-arrangement">Sub-track arrangement</a></li>
 </ul>
diff --git a/docs_m2met2/_build/html/searchindex.js b/docs_m2met2/_build/html/searchindex.js
index 1542f8e..6fd4256 100644
--- a/docs_m2met2/_build/html/searchindex.js
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@@ -1 +1 @@
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\ No newline at end of file
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+++ "b/docs_m2met2_cn/_build/html/_sources/\346\225\260\346\215\256\351\233\206.md.txt"
@@ -3,13 +3,13 @@
 鍦ㄩ檺瀹氭暟鎹泦鏉′欢涓嬶紝璁粌鏁版嵁闆嗕粎闄愪簬涓変釜鍏紑鐨勮鏂欏簱锛屽嵆AliMeeting銆丄ISHELL-4鍜孋N-Celeb銆備负浜嗚瘎浼板弬璧涜�呮彁浜ょ殑妯″瀷鐨勬�ц兘锛屾垜浠皢鍙戝竷涓�涓柊鐨勬祴璇曢泦锛圱est-2023锛夌敤浜庢墦鍒嗗拰鎺掑悕銆備笅闈㈡垜浠皢璇︾粏鎻忚堪AliMeeting鏁版嵁闆嗗拰Test-2023娴嬭瘯闆嗐��
 
 ## Alimeeting鏁版嵁闆嗕粙缁�
-AliMeeting鎬诲叡鍖呭惈118.75灏忔椂鐨勮闊虫暟鎹紝鍖呮嫭104.75灏忔椂鐨勮缁冮泦锛圱rain锛夈��4灏忔椂鐨勯獙璇侀泦锛圗val锛夊拰10灏忔椂鐨勬祴璇曢泦锛圱est锛夈�俆rain闆嗗拰Eval闆嗗垎鍒寘鍚�212鍦哄拰8鍦轰細璁紝鍏朵腑姣忓満浼氳鐢卞涓璇濅汉杩涜15鍒�30鍒嗛挓鐨勮璁恒�俆rain鍜孍val闆嗕腑鍙備笌浼氳鐨勬�讳汉鏁板垎鍒负456浜哄拰25浜猴紝骞朵笖鍙備細鐨勭敺濂虫瘮渚嬩汉鏁板潎琛°��
+AliMeeting鎬诲叡鍖呭惈118.75灏忔椂鐨勮闊虫暟鎹紝鍖呮嫭104.75灏忔椂鐨勮缁冮泦锛圱rain锛夈��4灏忔椂鐨勯獙璇侀泦锛圗val锛夊拰10灏忔椂鐨勬祴璇曢泦锛圱est锛夈�俆rain闆嗭紝Eval闆嗗拰Test闆嗗垎鍒寘鍚�212鍦哄拰8鍦轰細璁紝鍏朵腑姣忓満浼氳鐢卞涓璇濅汉杩涜15鍒�30鍒嗛挓鐨勮璁恒�俆rain锛孍val鍜孴est闆嗕腑鍙備笌浼氳鐨勬�讳汉鏁板垎鍒负456浜哄拰25浜猴紝骞朵笖鍙備細鐨勭敺濂虫瘮渚嬩汉鏁板潎琛°��
 
 璇ユ暟鎹泦鏀堕泦浜�13涓笉鍚岀殑浼氳瀹わ紝鎸夌収澶у皬瑙勬牸鍒嗕负灏忓瀷銆佷腑鍨嬪拰澶у瀷涓夌锛屾埧闂撮潰绉粠8鍒�55骞虫柟绫充笉绛夈�備笉鍚屾埧闂村叿鏈変笉鍚岀殑甯冨眬鍜屽０瀛︾壒鎬э紝姣忎釜鎴块棿鐨勮缁嗗弬鏁颁篃灏嗗彂閫佺粰鍙備笌鑰呫�備細璁満鍦扮殑澧欎綋鏉愭枡绫诲瀷鍖呮嫭姘存偿銆佺幓鐠冪瓑銆備細璁満鍦扮殑瀹跺叿鍖呮嫭娌欏彂銆佺數瑙嗐�侀粦鏉裤�侀鎵囥�佺┖璋冦�佹鐗╃瓑銆傚湪褰曞埗杩囩▼涓紝楹﹀厠椋庨樀鍒楁斁缃簬妗屼笂锛屽涓璇濅汉鍥村潗鍦ㄦ杈硅繘琛岃嚜鐒跺璇濄�傞害鍏嬮闃靛垪绂昏璇濅汉璺濈绾�0.3鍒�5.0绫充箣闂淬�傛墍鏈夎璇濅汉鐨勬瘝璇潎鏄眽璇紝骞朵笖璇寸殑閮芥槸鏅�氳瘽锛屾病鏈夋祿閲嶇殑鍙ｉ煶銆傚湪浼氳褰曞埗鏈熼棿鍙兘浼氫骇鐢熷悇绉嶅鍐呯殑鍣煶锛屽寘鎷敭鐩樺０銆佸紑闂�/鍏抽棬澹般�侀鎵囧０銆佹皵娉″０绛夈�傛墍鏈夎璇濅汉鍦ㄤ細璁殑褰曞埗鏈熼棿鍧囦繚鎸佺浉鍚屼綅缃紝涓嶅彂鐢熻蛋鍔ㄣ�傝缁冮泦鍜岄獙璇侀泦鐨勮璇濅汉娌℃湁閲嶅銆傚浘1灞曠ず浜嗕竴涓細璁鐨勫竷灞�浠ュ強楹﹀厠椋庣殑鎷撴墤缁撴瀯銆�
 
 ![meeting room](images/meeting_room.png)
 
-姣忓満浼氳鐨勮璇濅汉鏁伴噺浠�2鍒�4浜轰笉绛夈�傚悓鏃朵负浜嗚鐩栧悇绉嶅唴瀹圭殑浼氳鍦烘櫙锛屾垜浠�夋嫨浜嗗绉嶄細璁富棰橈紝鍖呮嫭鍖荤枟銆佹暀鑲层�佸晢涓氥�佺粍缁囩鐞嗐�佸伐涓氱敓浜х瓑涓嶅悓鍐呭鐨勪緥浼氥�俆rain闆嗭紝Eval闆嗗拰Test闆嗙殑骞冲潎璇煶閲嶅彔鐜囧垎鍒负42.27\%鍜�34.76\%銆侫liMeeting Train闆嗭紝Eval闆嗗拰Test闆嗙殑璇︾粏淇℃伅瑙佽〃1銆傝〃2鏄剧ず浜員rain闆�,Eval闆嗗拰Test闆嗕腑涓嶅悓鍙戣█鑰呬汉鏁颁細璁殑璇煶閲嶅彔鐜囧拰浼氳鏁伴噺銆�
+姣忓満浼氳鐨勮璇濅汉鏁伴噺浠�2鍒�4浜轰笉绛夈�傚悓鏃朵负浜嗚鐩栧悇绉嶅唴瀹圭殑浼氳鍦烘櫙锛屾垜浠�夋嫨浜嗗绉嶄細璁富棰橈紝鍖呮嫭鍖荤枟銆佹暀鑲层�佸晢涓氥�佺粍缁囩鐞嗐�佸伐涓氱敓浜х瓑涓嶅悓鍐呭鐨勪緥浼氥�俆rain闆嗭紝Eval闆嗗拰Test闆嗙殑骞冲潎璇煶閲嶅彔鐜囧垎鍒负42.27\%锛�34.76\%鍜�42.8\%銆侫liMeeting Train闆嗭紝Eval闆嗗拰Test闆嗙殑璇︾粏淇℃伅瑙佽〃1銆傝〃2鏄剧ず浜員rain闆�,Eval闆嗗拰Test闆嗕腑涓嶅悓鍙戣█鑰呬汉鏁颁細璁殑璇煶閲嶅彔鐜囧拰浼氳鏁伴噺銆�
 
 ![dataset detail](images/dataset_detail.png)
 Test-2023娴嬭瘯闆嗙敱20鍦轰細璁粍鎴愶紝杩欎簺浼氳鏄湪涓嶢liMeeting鏁版嵁闆嗙浉鍚岀殑澹板鐜涓嬪綍鍒剁殑銆俆est-2023娴嬭瘯闆嗕腑鐨勬瘡涓細璁幆鑺傜敱2鍒�4涓弬涓庤�呯粍鎴愬苟涓斾笌AliMeeting娴嬭瘯闆嗙殑閰嶇疆鐩镐技銆�
diff --git "a/docs_m2met2_cn/_build/html/_sources/\347\256\200\344\273\213.md.txt" "b/docs_m2met2_cn/_build/html/_sources/\347\256\200\344\273\213.md.txt"
index cf4dfb8..4ae9b67 100644
--- "a/docs_m2met2_cn/_build/html/_sources/\347\256\200\344\273\213.md.txt"
+++ "b/docs_m2met2_cn/_build/html/_sources/\347\256\200\344\273\213.md.txt"
@@ -25,4 +25,6 @@
 
 鏉ヨ嚜瀛︽湳鐣屽拰宸ヤ笟鐣岀殑鏈夋剰鍚戝弬璧涜�呭潎搴斿湪2023骞�5鏈�5鏃ュ強涔嬪墠濉啓涓嬫柟鐨勮胺姝岃〃鍗曪細
 
+[M2MET2.0鎶ュ悕](https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link)
+
 涓诲姙鏂瑰皢鍦�3涓伐浣滄棩鍐呴�氳繃鐢靛瓙閭欢閫氱煡绗﹀悎鏉′欢鐨勫弬璧涘洟闃燂紝鍥㈤槦蹇呴』閬靛畧灏嗗湪鎸戞垬缃戠珯涓婂彂甯冪殑鎸戞垬瑙勫垯銆傚湪鎺掑悕鍙戝竷涔嬪墠锛屾瘡涓弬璧涜�呭繀椤绘彁浜や竴浠界郴缁熸弿杩版枃浠讹紝璇︾粏璇存槑浣跨敤鐨勬柟娉曞拰妯″瀷銆備富鍔炴柟灏嗛�夋嫨鍓嶄笁鍚嶇撼鍏SRU2023璁烘枃闆嗐��
\ No newline at end of file
diff --git "a/docs_m2met2_cn/_build/html/_sources/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.md.txt" "b/docs_m2met2_cn/_build/html/_sources/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.md.txt"
index a99c1ed..94a6236 100644
--- "a/docs_m2met2_cn/_build/html/_sources/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.md.txt"
+++ "b/docs_m2met2_cn/_build/html/_sources/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.md.txt"
@@ -1,6 +1,6 @@
 # 璧涢亾璁剧疆涓庤瘎浼�
-## 璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)
-璇磋瘽浜虹浉鍏崇殑ASR浠诲姟闇�瑕佷粠閲嶅彔鐨勮闊充腑璇嗗埆姣忎釜璇磋瘽浜虹殑璇煶锛屽苟涓鸿瘑鍒唴瀹瑰垎閰嶄竴涓璇濅汉鏍囩銆傚浘2灞曠ず浜嗚璇濅汉鐩稿叧璇煶璇嗗埆浠诲姟鍜屽璇磋瘽浜鸿闊宠瘑鍒换鍔＄殑涓昏鍖哄埆銆傚湪鏈绔炶禌涓瑼liMeeting銆丄ishell4鍜孋n-Celeb鏁版嵁闆嗗彲浣滀负鍙楅檺鏁版嵁婧愩�傚湪M2MeT鎸戞垬璧涗腑浣跨敤鐨凙liMeeting鏁版嵁闆嗗寘鍚缁冦�佽瘎浼板拰娴嬭瘯闆嗭紝鍦∕2MET2.0鍙互鍦ㄨ缁冨拰璇勪及涓娇鐢ㄣ�傛澶栵紝涓�涓寘鍚害10灏忔椂浼氳鏁版嵁鐨勬柊鐨凾est-2023闆嗗皢鏍规嵁璧涚▼瀹夋帓鍙戝竷骞剁敤浜庢寫鎴樿禌鐨勮瘎鍒嗗拰鎺掑悕銆傚�煎緱娉ㄦ剰鐨勬槸锛岀粍缁囪�呭皢涓嶆彁渚涜�虫満鐨勮繎鍦洪煶棰戙�佽浆褰曚互鍙婄湡瀹炴椂闂存埑銆備富鍔炴柟灏嗕笉鍐嶆彁渚涙瘡涓璇濅汉鐨勭湡瀹炴椂闂存埑锛岃�屾槸鍦═est-2023闆嗕笂鎻愪緵鍖呭惈澶氫釜璇磋瘽浜虹殑鐗囨銆傝繖浜涚墖娈靛彲浠ラ�氳繃涓�涓畝鍗曠殑vad妯″瀷鑾峰緱銆�
+## 璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆
+璇磋瘽浜虹浉鍏崇殑ASR浠诲姟闇�瑕佷粠閲嶅彔鐨勮闊充腑璇嗗埆姣忎釜璇磋瘽浜虹殑璇煶锛屽苟涓鸿瘑鍒唴瀹瑰垎閰嶄竴涓璇濅汉鏍囩銆傚浘2灞曠ず浜嗚璇濅汉鐩稿叧璇煶璇嗗埆浠诲姟鍜屽璇磋瘽浜鸿闊宠瘑鍒换鍔＄殑涓昏鍖哄埆銆傚湪鏈绔炶禌涓瑼liMeeting銆丄ishell4鍜孋n-Celeb鏁版嵁闆嗗彲浣滀负鍙楅檺鏁版嵁婧愩�傚湪M2MeT鎸戞垬璧涗腑浣跨敤鐨凙liMeeting鏁版嵁闆嗗寘鍚缁冦�佽瘎浼板拰娴嬭瘯闆嗭紝鍦∕2MET2.0鍙互鍦ㄨ缁冨拰璇勪及涓娇鐢ㄣ�傛澶栵紝涓�涓寘鍚害10灏忔椂浼氳鏁版嵁鐨勬柊鐨凾est-2023闆嗗皢鏍规嵁璧涚▼瀹夋帓鍙戝竷骞剁敤浜庢寫鎴樿禌鐨勮瘎鍒嗗拰鎺掑悕銆傚�煎緱娉ㄦ剰鐨勬槸锛屽浜嶵est-2023娴嬭瘯闆嗭紝涓诲姙鏂瑰皢涓嶅啀鎻愪緵鑰虫満鐨勮繎鍦洪煶棰戙�佽浆褰曚互鍙婄湡瀹炴椂闂存埑銆傝�屾槸鎻愪緵鍙互閫氳繃涓�涓畝鍗曠殑VAD妯″瀷寰楀埌鐨勫寘鍚涓璇濅汉鐨勭墖娈点��
 
 ![task difference](images/task_diff.png)
 
@@ -12,6 +12,6 @@
 鍏朵腑 $\mathcal N_{\text{Ins}}$ , $\mathcal N_{\text{Sub}}$ , $\mathcal N_{\text{Del}}$ 鏄笁绉嶉敊璇殑瀛楃鏁�, $\mathcal N_{\text{Total}}$ 鏄瓧绗︽�绘暟.
 ## 瀛愯禌閬撹缃�
 ### 瀛愯禌閬撲竴 (闄愬畾璁粌鏁版嵁):
-鍙傝禌鑰呭湪绯荤粺鏋勫缓杩囩▼涓粎鑳戒娇鐢ˋliMeeting銆丄ISHELL-4鍜孋N Celeb锛屼弗绂佷娇鐢ㄩ澶栨暟鎹�傚弬璧涜�呭彲浠ヤ换浣曠涓夋柟寮�婧愮殑棰勮缁冩ā鍨嬶紝濡俒Hugging Face](https://huggingface.co/models)浠ュ強[ModelScope](https://www.modelscope.cn/models)涓婃彁渚涚殑妯″瀷銆傚弬璧涜�呴渶瑕佸湪鏈�缁堢殑绯荤粺鎻忚堪鏂囨。涓缁嗗垪鍑轰娇鐢ㄧ殑棰勮缁冩ā鍨嬪悕绉颁互鍙婇摼鎺ャ��
+鍙傝禌鑰呭湪绯荤粺鏋勫缓杩囩▼涓粎鑳戒娇鐢ˋliMeeting銆丄ISHELL-4鍜孋N-Celeb锛屼弗绂佷娇鐢ㄩ澶栨暟鎹�傚弬璧涜�呭彲浠ヤ换浣曠涓夋柟寮�婧愮殑棰勮缁冩ā鍨嬶紝濡俒Hugging Face](https://huggingface.co/models)浠ュ強[ModelScope](https://www.modelscope.cn/models)涓婃彁渚涚殑妯″瀷銆傚弬璧涜�呴渶瑕佸湪鏈�缁堢殑绯荤粺鎻忚堪鏂囨。涓缁嗗垪鍑轰娇鐢ㄧ殑棰勮缁冩ā鍨嬪悕绉颁互鍙婇摼鎺ャ��
 ### 瀛愯禌閬撲簩 (寮�鏀捐缁冩暟鎹�):
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 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id4">瀛愯禌閬撹缃�</a></li>
 </ul>
diff --git "a/docs_m2met2_cn/_build/html/\346\225\260\346\215\256\351\233\206.html" "b/docs_m2met2_cn/_build/html/\346\225\260\346\215\256\351\233\206.html"
index 276f7b7..ddefcc1 100644
--- "a/docs_m2met2_cn/_build/html/\346\225\260\346\215\256\351\233\206.html"
+++ "b/docs_m2met2_cn/_build/html/\346\225\260\346\215\256\351\233\206.html"
@@ -89,7 +89,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html">璧涢亾璁剧疆涓庤瘎浼�</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id3">璇勪及鏂规硶</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id4">瀛愯禌閬撹缃�</a></li>
 </ul>
@@ -131,10 +131,10 @@
 </section>
 <section id="alimeeting">
 <h2>Alimeeting鏁版嵁闆嗕粙缁�<a class="headerlink" href="#alimeeting" title="姝ゆ爣棰樼殑姘镐箙閾炬帴">露</a></h2>
-<p>AliMeeting鎬诲叡鍖呭惈118.75灏忔椂鐨勮闊虫暟鎹紝鍖呮嫭104.75灏忔椂鐨勮缁冮泦锛圱rain锛夈��4灏忔椂鐨勯獙璇侀泦锛圗val锛夊拰10灏忔椂鐨勬祴璇曢泦锛圱est锛夈�俆rain闆嗗拰Eval闆嗗垎鍒寘鍚�212鍦哄拰8鍦轰細璁紝鍏朵腑姣忓満浼氳鐢卞涓璇濅汉杩涜15鍒�30鍒嗛挓鐨勮璁恒�俆rain鍜孍val闆嗕腑鍙備笌浼氳鐨勬�讳汉鏁板垎鍒负456浜哄拰25浜猴紝骞朵笖鍙備細鐨勭敺濂虫瘮渚嬩汉鏁板潎琛°��</p>
+<p>AliMeeting鎬诲叡鍖呭惈118.75灏忔椂鐨勮闊虫暟鎹紝鍖呮嫭104.75灏忔椂鐨勮缁冮泦锛圱rain锛夈��4灏忔椂鐨勯獙璇侀泦锛圗val锛夊拰10灏忔椂鐨勬祴璇曢泦锛圱est锛夈�俆rain闆嗭紝Eval闆嗗拰Test闆嗗垎鍒寘鍚�212鍦哄拰8鍦轰細璁紝鍏朵腑姣忓満浼氳鐢卞涓璇濅汉杩涜15鍒�30鍒嗛挓鐨勮璁恒�俆rain锛孍val鍜孴est闆嗕腑鍙備笌浼氳鐨勬�讳汉鏁板垎鍒负456浜哄拰25浜猴紝骞朵笖鍙備細鐨勭敺濂虫瘮渚嬩汉鏁板潎琛°��</p>
 <p>璇ユ暟鎹泦鏀堕泦浜�13涓笉鍚岀殑浼氳瀹わ紝鎸夌収澶у皬瑙勬牸鍒嗕负灏忓瀷銆佷腑鍨嬪拰澶у瀷涓夌锛屾埧闂撮潰绉粠8鍒�55骞虫柟绫充笉绛夈�備笉鍚屾埧闂村叿鏈変笉鍚岀殑甯冨眬鍜屽０瀛︾壒鎬э紝姣忎釜鎴块棿鐨勮缁嗗弬鏁颁篃灏嗗彂閫佺粰鍙備笌鑰呫�備細璁満鍦扮殑澧欎綋鏉愭枡绫诲瀷鍖呮嫭姘存偿銆佺幓鐠冪瓑銆備細璁満鍦扮殑瀹跺叿鍖呮嫭娌欏彂銆佺數瑙嗐�侀粦鏉裤�侀鎵囥�佺┖璋冦�佹鐗╃瓑銆傚湪褰曞埗杩囩▼涓紝楹﹀厠椋庨樀鍒楁斁缃簬妗屼笂锛屽涓璇濅汉鍥村潗鍦ㄦ杈硅繘琛岃嚜鐒跺璇濄�傞害鍏嬮闃靛垪绂昏璇濅汉璺濈绾�0.3鍒�5.0绫充箣闂淬�傛墍鏈夎璇濅汉鐨勬瘝璇潎鏄眽璇紝骞朵笖璇寸殑閮芥槸鏅�氳瘽锛屾病鏈夋祿閲嶇殑鍙ｉ煶銆傚湪浼氳褰曞埗鏈熼棿鍙兘浼氫骇鐢熷悇绉嶅鍐呯殑鍣煶锛屽寘鎷敭鐩樺０銆佸紑闂�/鍏抽棬澹般�侀鎵囧０銆佹皵娉″０绛夈�傛墍鏈夎璇濅汉鍦ㄤ細璁殑褰曞埗鏈熼棿鍧囦繚鎸佺浉鍚屼綅缃紝涓嶅彂鐢熻蛋鍔ㄣ�傝缁冮泦鍜岄獙璇侀泦鐨勮璇濅汉娌℃湁閲嶅銆傚浘1灞曠ず浜嗕竴涓細璁鐨勫竷灞�浠ュ強楹﹀厠椋庣殑鎷撴墤缁撴瀯銆�</p>
 <p><img alt="meeting room" src="_images/meeting_room.png" /></p>
-<p>姣忓満浼氳鐨勮璇濅汉鏁伴噺浠�2鍒�4浜轰笉绛夈�傚悓鏃朵负浜嗚鐩栧悇绉嶅唴瀹圭殑浼氳鍦烘櫙锛屾垜浠�夋嫨浜嗗绉嶄細璁富棰橈紝鍖呮嫭鍖荤枟銆佹暀鑲层�佸晢涓氥�佺粍缁囩鐞嗐�佸伐涓氱敓浜х瓑涓嶅悓鍐呭鐨勪緥浼氥�俆rain闆嗭紝Eval闆嗗拰Test闆嗙殑骞冲潎璇煶閲嶅彔鐜囧垎鍒负42.27%鍜�34.76%銆侫liMeeting Train闆嗭紝Eval闆嗗拰Test闆嗙殑璇︾粏淇℃伅瑙佽〃1銆傝〃2鏄剧ず浜員rain闆�,Eval闆嗗拰Test闆嗕腑涓嶅悓鍙戣█鑰呬汉鏁颁細璁殑璇煶閲嶅彔鐜囧拰浼氳鏁伴噺銆�</p>
+<p>姣忓満浼氳鐨勮璇濅汉鏁伴噺浠�2鍒�4浜轰笉绛夈�傚悓鏃朵负浜嗚鐩栧悇绉嶅唴瀹圭殑浼氳鍦烘櫙锛屾垜浠�夋嫨浜嗗绉嶄細璁富棰橈紝鍖呮嫭鍖荤枟銆佹暀鑲层�佸晢涓氥�佺粍缁囩鐞嗐�佸伐涓氱敓浜х瓑涓嶅悓鍐呭鐨勪緥浼氥�俆rain闆嗭紝Eval闆嗗拰Test闆嗙殑骞冲潎璇煶閲嶅彔鐜囧垎鍒负42.27%锛�34.76%鍜�42.8%銆侫liMeeting Train闆嗭紝Eval闆嗗拰Test闆嗙殑璇︾粏淇℃伅瑙佽〃1銆傝〃2鏄剧ず浜員rain闆�,Eval闆嗗拰Test闆嗕腑涓嶅悓鍙戣█鑰呬汉鏁颁細璁殑璇煶閲嶅彔鐜囧拰浼氳鏁伴噺銆�</p>
 <p><img alt="dataset detail" src="_images/dataset_detail.png" />
 Test-2023娴嬭瘯闆嗙敱20鍦轰細璁粍鎴愶紝杩欎簺浼氳鏄湪涓嶢liMeeting鏁版嵁闆嗙浉鍚岀殑澹板鐜涓嬪綍鍒剁殑銆俆est-2023娴嬭瘯闆嗕腑鐨勬瘡涓細璁幆鑺傜敱2鍒�4涓弬涓庤�呯粍鎴愬苟涓斾笌AliMeeting娴嬭瘯闆嗙殑閰嶇疆鐩镐技銆�</p>
 <p>鎴戜滑杩樹娇鐢ㄨ�虫満楹﹀厠椋庤褰曚簡姣忎釜璇磋瘽浜虹殑杩戝満闊抽淇″彿锛屽苟纭繚鍙浆褰曞搴旇璇濅汉鑷繁鐨勮闊炽�傞渶瑕佹敞鎰忕殑鏄紝楹﹀厠椋庨樀鍒楄褰曠殑杩滃満闊抽鍜岃�虫満楹﹀厠椋庤褰曠殑杩戝満闊抽鍦ㄦ椂闂翠笂鏄悓姝ョ殑銆傛瘡鍦轰細璁殑鎵�鏈夋妱鏈潎浠extGrid鏍煎紡瀛樺偍锛屽唴瀹瑰寘鎷細璁殑鏃堕暱銆佽璇濅汉淇℃伅锛堣璇濅汉鏁伴噺銆佽璇濅汉ID銆佹�у埆绛夛級銆佹瘡涓璇濅汉鐨勭墖娈垫�绘暟銆佹瘡涓墖娈电殑鏃堕棿鎴冲拰杞綍鍐呭銆�</p>
diff --git "a/docs_m2met2_cn/_build/html/\347\256\200\344\273\213.html" "b/docs_m2met2_cn/_build/html/\347\256\200\344\273\213.html"
index a75969a..917a2ec 100644
--- "a/docs_m2met2_cn/_build/html/\347\256\200\344\273\213.html"
+++ "b/docs_m2met2_cn/_build/html/\347\256\200\344\273\213.html"
@@ -90,7 +90,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html">璧涢亾璁剧疆涓庤瘎浼�</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id3">璇勪及鏂规硶</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id4">瀛愯禌閬撹缃�</a></li>
 </ul>
@@ -150,6 +150,7 @@
 <section id="id3">
 <h2>绔炶禌鎶ュ悕<a class="headerlink" href="#id3" title="姝ゆ爣棰樼殑姘镐箙閾炬帴">露</a></h2>
 <p>鏉ヨ嚜瀛︽湳鐣屽拰宸ヤ笟鐣岀殑鏈夋剰鍚戝弬璧涜�呭潎搴斿湪2023骞�5鏈�5鏃ュ強涔嬪墠濉啓涓嬫柟鐨勮胺姝岃〃鍗曪細</p>
+<p><a class="reference external" href="https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link">M2MET2.0鎶ュ悕</a></p>
 <p>涓诲姙鏂瑰皢鍦�3涓伐浣滄棩鍐呴�氳繃鐢靛瓙閭欢閫氱煡绗﹀悎鏉′欢鐨勫弬璧涘洟闃燂紝鍥㈤槦蹇呴』閬靛畧灏嗗湪鎸戞垬缃戠珯涓婂彂甯冪殑鎸戞垬瑙勫垯銆傚湪鎺掑悕鍙戝竷涔嬪墠锛屾瘡涓弬璧涜�呭繀椤绘彁浜や竴浠界郴缁熸弿杩版枃浠讹紝璇︾粏璇存槑浣跨敤鐨勬柟娉曞拰妯″瀷銆備富鍔炴柟灏嗛�夋嫨鍓嶄笁鍚嶇撼鍏SRU2023璁烘枃闆嗐��</p>
 </section>
 </section>
diff --git "a/docs_m2met2_cn/_build/html/\347\273\204\345\247\224\344\274\232.html" "b/docs_m2met2_cn/_build/html/\347\273\204\345\247\224\344\274\232.html"
index 3fac9f6..ddf93bb 100644
--- "a/docs_m2met2_cn/_build/html/\347\273\204\345\247\224\344\274\232.html"
+++ "b/docs_m2met2_cn/_build/html/\347\273\204\345\247\224\344\274\232.html"
@@ -89,7 +89,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html">璧涢亾璁剧疆涓庤瘎浼�</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id3">璇勪及鏂规硶</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id4">瀛愯禌閬撹缃�</a></li>
 </ul>
diff --git "a/docs_m2met2_cn/_build/html/\350\201\224\347\263\273\346\226\271\345\274\217.html" "b/docs_m2met2_cn/_build/html/\350\201\224\347\263\273\346\226\271\345\274\217.html"
index 4486e13..249e5dd 100644
--- "a/docs_m2met2_cn/_build/html/\350\201\224\347\263\273\346\226\271\345\274\217.html"
+++ "b/docs_m2met2_cn/_build/html/\350\201\224\347\263\273\346\226\271\345\274\217.html"
@@ -85,7 +85,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html">璧涢亾璁剧疆涓庤瘎浼�</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id3">璇勪及鏂规硶</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id4">瀛愯禌閬撹缃�</a></li>
 </ul>
diff --git "a/docs_m2met2_cn/_build/html/\350\247\204\345\210\231.html" "b/docs_m2met2_cn/_build/html/\350\247\204\345\210\231.html"
index 6a66fd7..dafef66 100644
--- "a/docs_m2met2_cn/_build/html/\350\247\204\345\210\231.html"
+++ "b/docs_m2met2_cn/_build/html/\350\247\204\345\210\231.html"
@@ -89,7 +89,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html">璧涢亾璁剧疆涓庤瘎浼�</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id3">璇勪及鏂规硶</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E8%B5%9B%E9%81%93%E8%AE%BE%E7%BD%AE%E4%B8%8E%E8%AF%84%E4%BC%B0.html#id4">瀛愯禌閬撹缃�</a></li>
 </ul>
diff --git "a/docs_m2met2_cn/_build/html/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.html" "b/docs_m2met2_cn/_build/html/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.html"
index b9876b4..072ea54 100644
--- "a/docs_m2met2_cn/_build/html/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.html"
+++ "b/docs_m2met2_cn/_build/html/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.html"
@@ -90,7 +90,7 @@
 </ul>
 </li>
 <li class="toctree-l1 current"><a class="current reference internal" href="#">璧涢亾璁剧疆涓庤瘎浼�</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#id2">璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#id3">璇勪及鏂规硶</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#id4">瀛愯禌閬撹缃�</a></li>
 </ul>
@@ -127,8 +127,8 @@
   <section id="id1">
 <h1>璧涢亾璁剧疆涓庤瘎浼�<a class="headerlink" href="#id1" title="姝ゆ爣棰樼殑姘镐箙閾炬帴">露</a></h1>
 <section id="id2">
-<h2>璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)<a class="headerlink" href="#id2" title="姝ゆ爣棰樼殑姘镐箙閾炬帴">露</a></h2>
-<p>璇磋瘽浜虹浉鍏崇殑ASR浠诲姟闇�瑕佷粠閲嶅彔鐨勮闊充腑璇嗗埆姣忎釜璇磋瘽浜虹殑璇煶锛屽苟涓鸿瘑鍒唴瀹瑰垎閰嶄竴涓璇濅汉鏍囩銆傚浘2灞曠ず浜嗚璇濅汉鐩稿叧璇煶璇嗗埆浠诲姟鍜屽璇磋瘽浜鸿闊宠瘑鍒换鍔＄殑涓昏鍖哄埆銆傚湪鏈绔炶禌涓瑼liMeeting銆丄ishell4鍜孋n-Celeb鏁版嵁闆嗗彲浣滀负鍙楅檺鏁版嵁婧愩�傚湪M2MeT鎸戞垬璧涗腑浣跨敤鐨凙liMeeting鏁版嵁闆嗗寘鍚缁冦�佽瘎浼板拰娴嬭瘯闆嗭紝鍦∕2MET2.0鍙互鍦ㄨ缁冨拰璇勪及涓娇鐢ㄣ�傛澶栵紝涓�涓寘鍚害10灏忔椂浼氳鏁版嵁鐨勬柊鐨凾est-2023闆嗗皢鏍规嵁璧涚▼瀹夋帓鍙戝竷骞剁敤浜庢寫鎴樿禌鐨勮瘎鍒嗗拰鎺掑悕銆傚�煎緱娉ㄦ剰鐨勬槸锛岀粍缁囪�呭皢涓嶆彁渚涜�虫満鐨勮繎鍦洪煶棰戙�佽浆褰曚互鍙婄湡瀹炴椂闂存埑銆備富鍔炴柟灏嗕笉鍐嶆彁渚涙瘡涓璇濅汉鐨勭湡瀹炴椂闂存埑锛岃�屾槸鍦═est-2023闆嗕笂鎻愪緵鍖呭惈澶氫釜璇磋瘽浜虹殑鐗囨銆傝繖浜涚墖娈靛彲浠ラ�氳繃涓�涓畝鍗曠殑vad妯″瀷鑾峰緱銆�</p>
+<h2>璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆<a class="headerlink" href="#id2" title="姝ゆ爣棰樼殑姘镐箙閾炬帴">露</a></h2>
+<p>璇磋瘽浜虹浉鍏崇殑ASR浠诲姟闇�瑕佷粠閲嶅彔鐨勮闊充腑璇嗗埆姣忎釜璇磋瘽浜虹殑璇煶锛屽苟涓鸿瘑鍒唴瀹瑰垎閰嶄竴涓璇濅汉鏍囩銆傚浘2灞曠ず浜嗚璇濅汉鐩稿叧璇煶璇嗗埆浠诲姟鍜屽璇磋瘽浜鸿闊宠瘑鍒换鍔＄殑涓昏鍖哄埆銆傚湪鏈绔炶禌涓瑼liMeeting銆丄ishell4鍜孋n-Celeb鏁版嵁闆嗗彲浣滀负鍙楅檺鏁版嵁婧愩�傚湪M2MeT鎸戞垬璧涗腑浣跨敤鐨凙liMeeting鏁版嵁闆嗗寘鍚缁冦�佽瘎浼板拰娴嬭瘯闆嗭紝鍦∕2MET2.0鍙互鍦ㄨ缁冨拰璇勪及涓娇鐢ㄣ�傛澶栵紝涓�涓寘鍚害10灏忔椂浼氳鏁版嵁鐨勬柊鐨凾est-2023闆嗗皢鏍规嵁璧涚▼瀹夋帓鍙戝竷骞剁敤浜庢寫鎴樿禌鐨勮瘎鍒嗗拰鎺掑悕銆傚�煎緱娉ㄦ剰鐨勬槸锛屽浜嶵est-2023娴嬭瘯闆嗭紝涓诲姙鏂瑰皢涓嶅啀鎻愪緵鑰虫満鐨勮繎鍦洪煶棰戙�佽浆褰曚互鍙婄湡瀹炴椂闂存埑銆傝�屾槸鎻愪緵鍙互閫氳繃涓�涓畝鍗曠殑VAD妯″瀷寰楀埌鐨勫寘鍚涓璇濅汉鐨勭墖娈点��</p>
 <p><img alt="task difference" src="_images/task_diff.png" /></p>
 </section>
 <section id="id3">
@@ -142,7 +142,7 @@
 <h2>瀛愯禌閬撹缃�<a class="headerlink" href="#id4" title="姝ゆ爣棰樼殑姘镐箙閾炬帴">露</a></h2>
 <section id="id5">
 <h3>瀛愯禌閬撲竴 (闄愬畾璁粌鏁版嵁):<a class="headerlink" href="#id5" title="姝ゆ爣棰樼殑姘镐箙閾炬帴">露</a></h3>
-<p>鍙傝禌鑰呭湪绯荤粺鏋勫缓杩囩▼涓粎鑳戒娇鐢ˋliMeeting銆丄ISHELL-4鍜孋N Celeb锛屼弗绂佷娇鐢ㄩ澶栨暟鎹�傚弬璧涜�呭彲浠ヤ换浣曠涓夋柟寮�婧愮殑棰勮缁冩ā鍨嬶紝濡�<a class="reference external" href="https://huggingface.co/models">Hugging Face</a>浠ュ強<a class="reference external" href="https://www.modelscope.cn/models">ModelScope</a>涓婃彁渚涚殑妯″瀷銆傚弬璧涜�呴渶瑕佸湪鏈�缁堢殑绯荤粺鎻忚堪鏂囨。涓缁嗗垪鍑轰娇鐢ㄧ殑棰勮缁冩ā鍨嬪悕绉颁互鍙婇摼鎺ャ��</p>
+<p>鍙傝禌鑰呭湪绯荤粺鏋勫缓杩囩▼涓粎鑳戒娇鐢ˋliMeeting銆丄ISHELL-4鍜孋N-Celeb锛屼弗绂佷娇鐢ㄩ澶栨暟鎹�傚弬璧涜�呭彲浠ヤ换浣曠涓夋柟寮�婧愮殑棰勮缁冩ā鍨嬶紝濡�<a class="reference external" href="https://huggingface.co/models">Hugging Face</a>浠ュ強<a class="reference external" href="https://www.modelscope.cn/models">ModelScope</a>涓婃彁渚涚殑妯″瀷銆傚弬璧涜�呴渶瑕佸湪鏈�缁堢殑绯荤粺鎻忚堪鏂囨。涓缁嗗垪鍑轰娇鐢ㄧ殑棰勮缁冩ā鍨嬪悕绉颁互鍙婇摼鎺ャ��</p>
 </section>
 <section id="id6">
 <h3>瀛愯禌閬撲簩 (寮�鏀捐缁冩暟鎹�):<a class="headerlink" href="#id6" title="姝ゆ爣棰樼殑姘镐箙閾炬帴">露</a></h3>
diff --git "a/docs_m2met2_cn/\346\225\260\346\215\256\351\233\206.md" "b/docs_m2met2_cn/\346\225\260\346\215\256\351\233\206.md"
index 52965a1..24bfaf3 100644
--- "a/docs_m2met2_cn/\346\225\260\346\215\256\351\233\206.md"
+++ "b/docs_m2met2_cn/\346\225\260\346\215\256\351\233\206.md"
@@ -3,13 +3,13 @@
 鍦ㄩ檺瀹氭暟鎹泦鏉′欢涓嬶紝璁粌鏁版嵁闆嗕粎闄愪簬涓変釜鍏紑鐨勮鏂欏簱锛屽嵆AliMeeting銆丄ISHELL-4鍜孋N-Celeb銆備负浜嗚瘎浼板弬璧涜�呮彁浜ょ殑妯″瀷鐨勬�ц兘锛屾垜浠皢鍙戝竷涓�涓柊鐨勬祴璇曢泦锛圱est-2023锛夌敤浜庢墦鍒嗗拰鎺掑悕銆備笅闈㈡垜浠皢璇︾粏鎻忚堪AliMeeting鏁版嵁闆嗗拰Test-2023娴嬭瘯闆嗐��
 
 ## Alimeeting鏁版嵁闆嗕粙缁�
-AliMeeting鎬诲叡鍖呭惈118.75灏忔椂鐨勮闊虫暟鎹紝鍖呮嫭104.75灏忔椂鐨勮缁冮泦锛圱rain锛夈��4灏忔椂鐨勯獙璇侀泦锛圗val锛夊拰10灏忔椂鐨勬祴璇曢泦锛圱est锛夈�俆rain闆嗗拰Eval闆嗗垎鍒寘鍚�212鍦哄拰8鍦轰細璁紝鍏朵腑姣忓満浼氳鐢卞涓璇濅汉杩涜15鍒�30鍒嗛挓鐨勮璁恒�俆rain鍜孍val闆嗕腑鍙備笌浼氳鐨勬�讳汉鏁板垎鍒负456浜哄拰25浜猴紝骞朵笖鍙備細鐨勭敺濂虫瘮渚嬩汉鏁板潎琛°��
+AliMeeting鎬诲叡鍖呭惈118.75灏忔椂鐨勮闊虫暟鎹紝鍖呮嫭104.75灏忔椂鐨勮缁冮泦锛圱rain锛夈��4灏忔椂鐨勯獙璇侀泦锛圗val锛夊拰10灏忔椂鐨勬祴璇曢泦锛圱est锛夈�俆rain闆嗭紝Eval闆嗗拰Test闆嗗垎鍒寘鍚�212鍦哄拰8鍦轰細璁紝鍏朵腑姣忓満浼氳鐢卞涓璇濅汉杩涜15鍒�30鍒嗛挓鐨勮璁恒�俆rain锛孍val鍜孴est闆嗕腑鍙備笌浼氳鐨勬�讳汉鏁板垎鍒负456浜哄拰25浜猴紝骞朵笖鍙備細鐨勭敺濂虫瘮渚嬩汉鏁板潎琛°��
 
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 ![meeting room](images/meeting_room.png)
 
-姣忓満浼氳鐨勮璇濅汉鏁伴噺浠�2鍒�4浜轰笉绛夈�傚悓鏃朵负浜嗚鐩栧悇绉嶅唴瀹圭殑浼氳鍦烘櫙锛屾垜浠�夋嫨浜嗗绉嶄細璁富棰橈紝鍖呮嫭鍖荤枟銆佹暀鑲层�佸晢涓氥�佺粍缁囩鐞嗐�佸伐涓氱敓浜х瓑涓嶅悓鍐呭鐨勪緥浼氥�俆rain闆嗭紝Eval闆嗗拰Test闆嗙殑骞冲潎璇煶閲嶅彔鐜囧垎鍒负42.27\%鍜�34.76\%銆侫liMeeting Train闆嗭紝Eval闆嗗拰Test闆嗙殑璇︾粏淇℃伅瑙佽〃1銆傝〃2鏄剧ず浜員rain闆�,Eval闆嗗拰Test闆嗕腑涓嶅悓鍙戣█鑰呬汉鏁颁細璁殑璇煶閲嶅彔鐜囧拰浼氳鏁伴噺銆�
+姣忓満浼氳鐨勮璇濅汉鏁伴噺浠�2鍒�4浜轰笉绛夈�傚悓鏃朵负浜嗚鐩栧悇绉嶅唴瀹圭殑浼氳鍦烘櫙锛屾垜浠�夋嫨浜嗗绉嶄細璁富棰橈紝鍖呮嫭鍖荤枟銆佹暀鑲层�佸晢涓氥�佺粍缁囩鐞嗐�佸伐涓氱敓浜х瓑涓嶅悓鍐呭鐨勪緥浼氥�俆rain闆嗭紝Eval闆嗗拰Test闆嗙殑骞冲潎璇煶閲嶅彔鐜囧垎鍒负42.27\%锛�34.76\%鍜�42.8\%銆侫liMeeting Train闆嗭紝Eval闆嗗拰Test闆嗙殑璇︾粏淇℃伅瑙佽〃1銆傝〃2鏄剧ず浜員rain闆�,Eval闆嗗拰Test闆嗕腑涓嶅悓鍙戣█鑰呬汉鏁颁細璁殑璇煶閲嶅彔鐜囧拰浼氳鏁伴噺銆�
 
 ![dataset detail](images/dataset_detail.png)
 Test-2023娴嬭瘯闆嗙敱20鍦轰細璁粍鎴愶紝杩欎簺浼氳鏄湪涓嶢liMeeting鏁版嵁闆嗙浉鍚岀殑澹板鐜涓嬪綍鍒剁殑銆俆est-2023娴嬭瘯闆嗕腑鐨勬瘡涓細璁幆鑺傜敱2鍒�4涓弬涓庤�呯粍鎴愬苟涓斾笌AliMeeting娴嬭瘯闆嗙殑閰嶇疆鐩镐技銆�
diff --git "a/docs_m2met2_cn/\347\256\200\344\273\213.md" "b/docs_m2met2_cn/\347\256\200\344\273\213.md"
index cf4dfb8..4ae9b67 100644
--- "a/docs_m2met2_cn/\347\256\200\344\273\213.md"
+++ "b/docs_m2met2_cn/\347\256\200\344\273\213.md"
@@ -25,4 +25,6 @@
 
 鏉ヨ嚜瀛︽湳鐣屽拰宸ヤ笟鐣岀殑鏈夋剰鍚戝弬璧涜�呭潎搴斿湪2023骞�5鏈�5鏃ュ強涔嬪墠濉啓涓嬫柟鐨勮胺姝岃〃鍗曪細
 
+[M2MET2.0鎶ュ悕](https://docs.google.com/forms/d/e/1FAIpQLSf77T9vAl7Ym-u5g8gXu18SBofoWRaFShBo26Ym0-HDxHW9PQ/viewform?usp=sf_link)
+
 涓诲姙鏂瑰皢鍦�3涓伐浣滄棩鍐呴�氳繃鐢靛瓙閭欢閫氱煡绗﹀悎鏉′欢鐨勫弬璧涘洟闃燂紝鍥㈤槦蹇呴』閬靛畧灏嗗湪鎸戞垬缃戠珯涓婂彂甯冪殑鎸戞垬瑙勫垯銆傚湪鎺掑悕鍙戝竷涔嬪墠锛屾瘡涓弬璧涜�呭繀椤绘彁浜や竴浠界郴缁熸弿杩版枃浠讹紝璇︾粏璇存槑浣跨敤鐨勬柟娉曞拰妯″瀷銆備富鍔炴柟灏嗛�夋嫨鍓嶄笁鍚嶇撼鍏SRU2023璁烘枃闆嗐��
\ No newline at end of file
diff --git "a/docs_m2met2_cn/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.md" "b/docs_m2met2_cn/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.md"
index a99c1ed..94a6236 100644
--- "a/docs_m2met2_cn/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.md"
+++ "b/docs_m2met2_cn/\350\265\233\351\201\223\350\256\276\347\275\256\344\270\216\350\257\204\344\274\260.md"
@@ -1,6 +1,6 @@
 # 璧涢亾璁剧疆涓庤瘎浼�
-## 璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆 (涓昏禌閬�)
-璇磋瘽浜虹浉鍏崇殑ASR浠诲姟闇�瑕佷粠閲嶅彔鐨勮闊充腑璇嗗埆姣忎釜璇磋瘽浜虹殑璇煶锛屽苟涓鸿瘑鍒唴瀹瑰垎閰嶄竴涓璇濅汉鏍囩銆傚浘2灞曠ず浜嗚璇濅汉鐩稿叧璇煶璇嗗埆浠诲姟鍜屽璇磋瘽浜鸿闊宠瘑鍒换鍔＄殑涓昏鍖哄埆銆傚湪鏈绔炶禌涓瑼liMeeting銆丄ishell4鍜孋n-Celeb鏁版嵁闆嗗彲浣滀负鍙楅檺鏁版嵁婧愩�傚湪M2MeT鎸戞垬璧涗腑浣跨敤鐨凙liMeeting鏁版嵁闆嗗寘鍚缁冦�佽瘎浼板拰娴嬭瘯闆嗭紝鍦∕2MET2.0鍙互鍦ㄨ缁冨拰璇勪及涓娇鐢ㄣ�傛澶栵紝涓�涓寘鍚害10灏忔椂浼氳鏁版嵁鐨勬柊鐨凾est-2023闆嗗皢鏍规嵁璧涚▼瀹夋帓鍙戝竷骞剁敤浜庢寫鎴樿禌鐨勮瘎鍒嗗拰鎺掑悕銆傚�煎緱娉ㄦ剰鐨勬槸锛岀粍缁囪�呭皢涓嶆彁渚涜�虫満鐨勮繎鍦洪煶棰戙�佽浆褰曚互鍙婄湡瀹炴椂闂存埑銆備富鍔炴柟灏嗕笉鍐嶆彁渚涙瘡涓璇濅汉鐨勭湡瀹炴椂闂存埑锛岃�屾槸鍦═est-2023闆嗕笂鎻愪緵鍖呭惈澶氫釜璇磋瘽浜虹殑鐗囨銆傝繖浜涚墖娈靛彲浠ラ�氳繃涓�涓畝鍗曠殑vad妯″瀷鑾峰緱銆�
+## 璇磋瘽浜虹浉鍏崇殑璇煶璇嗗埆
+璇磋瘽浜虹浉鍏崇殑ASR浠诲姟闇�瑕佷粠閲嶅彔鐨勮闊充腑璇嗗埆姣忎釜璇磋瘽浜虹殑璇煶锛屽苟涓鸿瘑鍒唴瀹瑰垎閰嶄竴涓璇濅汉鏍囩銆傚浘2灞曠ず浜嗚璇濅汉鐩稿叧璇煶璇嗗埆浠诲姟鍜屽璇磋瘽浜鸿闊宠瘑鍒换鍔＄殑涓昏鍖哄埆銆傚湪鏈绔炶禌涓瑼liMeeting銆丄ishell4鍜孋n-Celeb鏁版嵁闆嗗彲浣滀负鍙楅檺鏁版嵁婧愩�傚湪M2MeT鎸戞垬璧涗腑浣跨敤鐨凙liMeeting鏁版嵁闆嗗寘鍚缁冦�佽瘎浼板拰娴嬭瘯闆嗭紝鍦∕2MET2.0鍙互鍦ㄨ缁冨拰璇勪及涓娇鐢ㄣ�傛澶栵紝涓�涓寘鍚害10灏忔椂浼氳鏁版嵁鐨勬柊鐨凾est-2023闆嗗皢鏍规嵁璧涚▼瀹夋帓鍙戝竷骞剁敤浜庢寫鎴樿禌鐨勮瘎鍒嗗拰鎺掑悕銆傚�煎緱娉ㄦ剰鐨勬槸锛屽浜嶵est-2023娴嬭瘯闆嗭紝涓诲姙鏂瑰皢涓嶅啀鎻愪緵鑰虫満鐨勮繎鍦洪煶棰戙�佽浆褰曚互鍙婄湡瀹炴椂闂存埑銆傝�屾槸鎻愪緵鍙互閫氳繃涓�涓畝鍗曠殑VAD妯″瀷寰楀埌鐨勫寘鍚涓璇濅汉鐨勭墖娈点��
 
 ![task difference](images/task_diff.png)
 
@@ -12,6 +12,6 @@
 鍏朵腑 $\mathcal N_{\text{Ins}}$ , $\mathcal N_{\text{Sub}}$ , $\mathcal N_{\text{Del}}$ 鏄笁绉嶉敊璇殑瀛楃鏁�, $\mathcal N_{\text{Total}}$ 鏄瓧绗︽�绘暟.
 ## 瀛愯禌閬撹缃�
 ### 瀛愯禌閬撲竴 (闄愬畾璁粌鏁版嵁):
-鍙傝禌鑰呭湪绯荤粺鏋勫缓杩囩▼涓粎鑳戒娇鐢ˋliMeeting銆丄ISHELL-4鍜孋N Celeb锛屼弗绂佷娇鐢ㄩ澶栨暟鎹�傚弬璧涜�呭彲浠ヤ换浣曠涓夋柟寮�婧愮殑棰勮缁冩ā鍨嬶紝濡俒Hugging Face](https://huggingface.co/models)浠ュ強[ModelScope](https://www.modelscope.cn/models)涓婃彁渚涚殑妯″瀷銆傚弬璧涜�呴渶瑕佸湪鏈�缁堢殑绯荤粺鎻忚堪鏂囨。涓缁嗗垪鍑轰娇鐢ㄧ殑棰勮缁冩ā鍨嬪悕绉颁互鍙婇摼鎺ャ��
+鍙傝禌鑰呭湪绯荤粺鏋勫缓杩囩▼涓粎鑳戒娇鐢ˋliMeeting銆丄ISHELL-4鍜孋N-Celeb锛屼弗绂佷娇鐢ㄩ澶栨暟鎹�傚弬璧涜�呭彲浠ヤ换浣曠涓夋柟寮�婧愮殑棰勮缁冩ā鍨嬶紝濡俒Hugging Face](https://huggingface.co/models)浠ュ強[ModelScope](https://www.modelscope.cn/models)涓婃彁渚涚殑妯″瀷銆傚弬璧涜�呴渶瑕佸湪鏈�缁堢殑绯荤粺鎻忚堪鏂囨。涓缁嗗垪鍑轰娇鐢ㄧ殑棰勮缁冩ā鍨嬪悕绉颁互鍙婇摼鎺ャ��
 ### 瀛愯禌閬撲簩 (寮�鏀捐缁冩暟鎹�):
 闄や簡闄愬畾鏁版嵁澶栵紝鍙備笌鑰呭彲浠ヤ娇鐢ㄤ换浣曞叕寮�鍙敤銆佺浜哄綍鍒跺拰妯℃嫙浠跨湡鐨勬暟鎹泦銆備絾鏄紝鍙備笌鑰呭繀椤绘竻妤氬湴鍒楀嚭浣跨敤鐨勬暟鎹�傚悓鏍凤紝鍙傝禌鑰呬篃鍙互浣跨敤浠讳綍绗笁鏂瑰紑婧愮殑棰勮缁冩ā鍨嬶紝浣嗗繀椤诲湪鏈�鍚庣殑绯荤粺鎻忚堪鏂囦欢涓槑纭殑鍒楀嚭鎵�浣跨敤鐨勬暟鎹拰妯″瀷閾炬帴锛屽鏋滀娇鐢ㄦā鎷熶豢鐪熸暟鎹紝璇疯缁嗘弿杩版暟鎹ā鎷熺殑鏂规銆�
\ No newline at end of file

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