From b8825902d93d5017e44828316062dc8306b7ddcd Mon Sep 17 00:00:00 2001 From: Yabin Li <wucong.lyb@alibaba-inc.com> Date: 星期二, 26 十二月 2023 10:51:00 +0800 Subject: [PATCH] support ngram and fst hotword for 2pass-offline (#1205) --- README.md | 5 +++-- 1 files changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7163f5a..79f2796 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,8 @@ <a name="whats-new"></a> -## What's new: +## What's new: +- 2023/12/04: The Funasr SDK for Windows version 1.0 has been released, featuring support for The offline file transcription service (CPU) of Mandarin, The offline file transcription service (CPU) of English, The real-time transcription service (CPU) of Mandarin. For more details, please refer to the official documentation or release notes([FunASR-Runtime-Windows](https://www.modelscope.cn/models/damo/funasr-runtime-win-cpu-x64/summary)) - 2023/11/08: The offline file transcription service 3.0 (CPU) of Mandarin has been released, adding punctuation large model, Ngram language model, and wfst hot words. For detailed information, please refer to [docs](runtime#file-transcription-service-mandarin-cpu). - 2023/10/17: The offline file transcription service (CPU) of English has been released. For more details, please refer to ([docs](runtime#file-transcription-service-english-cpu)). - 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. @@ -153,7 +154,7 @@ 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. +This project is licensed under [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 license](./MODEL_LICENSE) -- Gitblit v1.9.1