From 4cac6b76d9b8461b7fda2e2ecbb73b69d8c391bc Mon Sep 17 00:00:00 2001 From: jinzr Date: Thu, 29 Feb 2024 11:09:54 +0800 Subject: [PATCH] updated --- egs/ljspeech/TTS/README.md | 2 ++ egs/vctk/TTS/README.md | 1 + 2 files changed, 3 insertions(+) diff --git a/egs/ljspeech/TTS/README.md b/egs/ljspeech/TTS/README.md index 930826971..80be5a315 100644 --- a/egs/ljspeech/TTS/README.md +++ b/egs/ljspeech/TTS/README.md @@ -15,6 +15,8 @@ This recipe provides a VITS model trained on the LJSpeech dataset. Pretrained model can be found [here](https://huggingface.co/Zengwei/icefall-tts-ljspeech-vits-2024-02-28). +For tutorial and more details, please refer to the [VITS documentation](https://k2-fsa.github.io/icefall/recipes/TTS/ljspeech/vits.html). + The training command is given below: ``` export CUDA_VISIBLE_DEVICES=0,1,2,3 diff --git a/egs/vctk/TTS/README.md b/egs/vctk/TTS/README.md index bb348e9a8..724bbfc2b 100644 --- a/egs/vctk/TTS/README.md +++ b/egs/vctk/TTS/README.md @@ -12,3 +12,4 @@ This recipe provides a VITS model trained on the VCTK dataset. Pretrained model can be found [here](https://huggingface.co/zrjin/icefall-tts-vctk-vits-2023-12-05), note that this model was pretrained on the Edinburgh DataShare VCTK dataset. +For tutorial and more details, please refer to the [VITS documentation](https://k2-fsa.github.io/icefall/recipes/TTS/vctk/vits.html). \ No newline at end of file