From 580b11b57ac4b62f7e2acda73813a4e10e8e4cd3 Mon Sep 17 00:00:00 2001 From: 游雁 <zhifu.gzf@alibaba-inc.com> Date: 星期二, 10 十月 2023 17:17:29 +0800 Subject: [PATCH] v0.8.0 --- README.md | 10 ++++++---- 1 files changed, 6 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 8a8578e..0a8ee83 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,8 @@ <a name="whats-new"></a> ## What's new: +- 2023/10/07: [FunCodec](https://github.com/alibaba-damo-academy/FunCodec): A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec. +- 2023/09/01: The offline file transcription service 2.0 (CPU) of Mandarin has been released, with added support for ffmpeg, timestamp, and hotword models. For more details, please refer to ([Deployment documentation](funasr/runtime/docs/SDK_tutorial.md)). - 2023/08/07: The real-time transcription service (CPU) of Mandarin has been released. For more details, please refer to ([Deployment documentation](funasr/runtime/docs/SDK_tutorial_online.md)). - 2023/07/17: BAT is released, which is a low-latency and low-memory-consumption RNN-T model. For more details, please refer to ([BAT](egs/aishell/bat)). - 2023/07/03: The offline file transcription service (CPU) of Mandarin has been released. For more details, please refer to ([Deployment documentation](funasr/runtime/docs/SDK_tutorial.md)). @@ -46,7 +48,7 @@ <a name="quick-start"></a> ## Quick Start -Quick start for new users锛圼tutorial](https://alibaba-damo-academy.github.io/FunASR/en/funasr/quick_start_zh.html)锛� +Quick start for new users锛圼tutorial](https://alibaba-damo-academy.github.io/FunASR/en/funasr/quick_start.html)锛� FunASR supports inference and fine-tuning of models trained on industrial datasets of tens of thousands of hours. For more details, please refer to ([modelscope_egs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html)). It also supports training and fine-tuning of models on academic standard datasets. For more details, please refer to([egs](https://alibaba-damo-academy.github.io/FunASR/en/academic_recipe/asr_recipe.html)). The models include speech recognition (ASR), speech activity detection (VAD), punctuation recovery, language model, speaker verification, speaker separation, and multi-party conversation speech recognition. For a detailed list of models, please refer to the [Model Zoo](https://github.com/alibaba-damo-academy/FunASR/blob/main/docs/model_zoo/modelscope_models.md): @@ -59,18 +61,18 @@ |DingTalk group | WeChat group | |:---:|:-----------------------------------------------------:| -|<div align="left"><img src="docs/images/dingding.jpg" width="250"/> | <img src="docs/images/wechat.png" width="232"/></div> | +|<div align="left"><img src="docs/images/dingding.jpg" width="250"/> | <img src="docs/images/wechat.png" width="215"/></div> | ## Contributors | <div align="left"><img src="docs/images/damo.png" width="180"/> | <div align="left"><img src="docs/images/nwpu.png" width="260"/> | <img src="docs/images/China_Telecom.png" width="200"/> </div> | <img src="docs/images/RapidAI.png" width="200"/> </div> | <img src="docs/images/aihealthx.png" width="200"/> </div> | <img src="docs/images/XVERSE.png" width="250"/> </div> | |:---------------------------------------------------------------:|:---------------------------------------------------------------:|:--------------------------------------------------------------:|:-------------------------------------------------------:|:-----------------------------------------------------------:|:------------------------------------------------------:| -The contributors can be found in [contributors list](./Acknowledge) +The contributors can be found in [contributors list](./Acknowledge.md) ## License This project is licensed under the [The MIT License](https://opensource.org/licenses/MIT). FunASR also contains various third-party components and some code modified from other repos under other open source licenses. -The use of pretraining model is subject to [model licencs](./MODEL_LICENSE) +The use of pretraining model is subject to [model license](./MODEL_LICENSE) ## Citations -- Gitblit v1.9.1