From d20c030e5b75306dd67e8fe9924d5d94eac1bf30 Mon Sep 17 00:00:00 2001
From: wusong <63332221+wusong1128@users.noreply.github.com>
Date: 星期三, 25 九月 2024 15:11:50 +0800
Subject: [PATCH] 解决python ws服务针对尾部非人声录音无结束标识返回的问题 (#2102)
---
docs/m2met2/index.rst | 5 ++++-
1 files changed, 4 insertions(+), 1 deletions(-)
diff --git a/docs/m2met2/index.rst b/docs/m2met2/index.rst
index 672cb91..6567dee 100644
--- a/docs/m2met2/index.rst
+++ b/docs/m2met2/index.rst
@@ -7,7 +7,9 @@
==================================================================================
Building on the success of the M2MeT challenge, we are delighted to propose the M2MeT2.0 challenge as a special session at ASRU2023.
To advance the current state-of-the-art in multi-talker automatic speech recognition, the M2MeT2.0 challenge proposes a speaker-attributed ASR task, comprising two sub-tracks: fixed and open training conditions.
-To facilitate reproducible research, we provide a comprehensive overview of the dataset, challenge rules, evaluation metrics, and baseline systems.
+To facilitate reproducible research, we provide a comprehensive overview of the dataset, challenge rules, evaluation metrics, and baseline systems.
+
+Now the new test set contains about 10 hours audio is available. You can download from `here <https://speech-lab-share-data.oss-cn-shanghai.aliyuncs.com/AliMeeting/openlr/Test_2023_Ali.tar.gz>`_
.. toctree::
:maxdepth: 1
@@ -21,3 +23,4 @@
./Challenge_result
./Organizers
./Contact
+
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