From c8fe32c5bc0d7ec434d4cbce9f38bd0e1617c93a Mon Sep 17 00:00:00 2001 From: zhaomingwork <zhaomingwork@qq.com> Date: 星期一, 15 五月 2023 15:00:16 +0800 Subject: [PATCH] change readme for more detail --- docs/m2met2/_build/html/_sources/Baseline.md.txt | 4 ++-- 1 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/m2met2/_build/html/_sources/Baseline.md.txt b/docs/m2met2/_build/html/_sources/Baseline.md.txt index cdaff8a..adc5307 100644 --- a/docs/m2met2/_build/html/_sources/Baseline.md.txt +++ b/docs/m2met2/_build/html/_sources/Baseline.md.txt @@ -5,7 +5,7 @@  ## Quick start -To run the baseline, first you need to install FunASR and ModelScope. ([installation](https://alibaba-damo-academy.github.io/FunASR/en/installation.html)) +To run the baseline, first you need to install FunASR and ModelScope. ([installation](https://github.com/alibaba-damo-academy/FunASR#installation)) There are two startup scripts, `run.sh` for training and evaluating on the old eval and test sets, and `run_m2met_2023_infer.sh` for inference on the new test set of the Multi-Channel Multi-Party Meeting Transcription 2.0 ([M2MeT2.0](https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html)) Challenge. Before running `run.sh`, you must manually download and unpack the [AliMeeting](http://www.openslr.org/119/) corpus and place it in the `./dataset` directory: ```shell @@ -31,4 +31,4 @@ ## Baseline results The results of the baseline system are shown in Table 3. The speaker profile adopts the oracle speaker embedding during training. However, due to the lack of oracle speaker label during evaluation, the speaker profile provided by an additional spectral clustering is used. Meanwhile, the results of using the oracle speaker profile on Eval and Test Set are also provided to show the impact of speaker profile accuracy. - \ No newline at end of file + \ No newline at end of file -- Gitblit v1.9.1