From 951eec1cf0225e4a676efeacde5c3b97fb31735d Mon Sep 17 00:00:00 2001 From: yhliang <68215459+yhliang-aslp@users.noreply.github.com> Date: 星期四, 13 四月 2023 15:44:12 +0800 Subject: [PATCH] Update README.md --- docs_m2met2/Baseline.md | 2 +- 1 files changed, 1 insertions(+), 1 deletions(-) diff --git a/docs_m2met2/Baseline.md b/docs_m2met2/Baseline.md index 0bd09b3..975fab8 100644 --- a/docs_m2met2/Baseline.md +++ b/docs_m2met2/Baseline.md @@ -1,6 +1,6 @@ # Baseline ## Overview -We provide an end-to-end sa-asr baseline conducted on [FunASR](https://github.com/alibaba-damo-academy/FunASR) as a receipe. The model architecture is shown in Figure 3. The SpeakerEncoder is initialized with a pre-trained [speaker verification model](https://modelscope.cn/models/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/summary) from [ModelScope](https://modelscope.cn/home). This speaker verification model is also be used to extract the speaker embedding in the speaker profile. +We provide an end-to-end sa-asr baseline conducted on [FunASR](https://github.com/alibaba-damo-academy/FunASR) as a receipe. The model architecture is shown in Figure 2. The SpeakerEncoder is initialized with a pre-trained [speaker verification model](https://modelscope.cn/models/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/summary) from [ModelScope](https://modelscope.cn/home). This speaker verification model is also be used to extract the speaker embedding in the speaker profile.  -- Gitblit v1.9.1