From 2e36e738ca39afc8d02f3d11013bd12f937cc874 Mon Sep 17 00:00:00 2001 From: zhaomingwork <61895407+zhaomingwork@users.noreply.github.com> Date: 星期三, 08 十一月 2023 09:22:06 +0800 Subject: [PATCH] fix bug for h5 hotwords (#1067) --- README.md | 11 +++++++---- 1 files changed, 7 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index f14d5a9..1a1b334 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ | [**News**](https://github.com/alibaba-damo-academy/FunASR#whats-new) | [**Installation**](#installation) | [**Quick Start**](#quick-start) -| [**Runtime**](./funasr/runtime/readme.md) +| [**Runtime**](./runtime/readme.md) | [**Model Zoo**](./docs/model_zoo/modelscope_models.md) | [**Contact**](#contact) @@ -28,10 +28,13 @@ <a name="whats-new"></a> ## What's new: +- 2023/10/17: The offline file transcription service (CPU) of English has been released. For more details, please refer to ([Deployment documentation](funasr/runtime/docs/SDK_tutorial_en.md)). +- 2023/10/13: [SlideSpeech](https://slidespeech.github.io/): A large scale multi-modal audio-visual corpus with a significant amount of real-time synchronized slides. +- 2023/10/10: The ASR-SpeakersDiarization combined pipeline [Paraformer-VAD-SPK](https://github.com/alibaba-damo-academy/FunASR/blob/main/egs_modelscope/asr_vad_spk/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/demo.py) is now released. Experience the model to get recognition results with speaker information. +- 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)). - 2023/06/26: ASRU2023 Multi-Channel Multi-Party Meeting Transcription Challenge 2.0 completed the competition and announced the results. For more details, please refer to ([M2MeT2.0](https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html)). @@ -47,7 +50,7 @@ <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): @@ -60,7 +63,7 @@ |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 -- Gitblit v1.9.1