From 6cdbcf4b0aaceedb5a493d53a5686fb42a36db01 Mon Sep 17 00:00:00 2001 From: dudulu <solacowa@gmail.com> Date: 星期三, 31 一月 2024 16:22:05 +0800 Subject: [PATCH] Update funasr_wss_server.py (#1322) --- README.md | 5 +++-- 1 files changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 796200a..9f34553 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,7 @@ <a name="whats-new"></a> ## What's new: - 2024/01/30锛歠unasr-1.0 has been released ([docs](https://github.com/alibaba-damo-academy/FunASR/discussions/1319)) +- 2024/01/30锛歟motion recognition models are new supported. [model link](https://www.modelscope.cn/models/iic/emotion2vec_base_finetuned/summary), modified from [repo](https://github.com/ddlBoJack/emotion2vec). - 2024/01/25: Offline File Transcription Service 4.2, Offline File Transcription Service of English 1.3 released锛宱ptimized the VAD (Voice Activity Detection) data processing method, significantly reducing peak memory usage, memory leak optimization; Real-time Transcription Service 1.7 released锛宱ptimizatized the client-side锛�([docs](runtime/readme.md)) - 2024/01/09: The Funasr SDK for Windows version 2.0 has been released, featuring support for The offline file transcription service (CPU) of Mandarin 4.1, The offline file transcription service (CPU) of English 1.2, The real-time transcription service (CPU) of Mandarin 1.6. 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)) - 2024/01/03: File Transcription Service 4.0 released, Added support for 8k models, optimized timestamp mismatch issues and added sentence-level timestamps, improved the effectiveness of English word FST hotwords, supported automated configuration of thread parameters, and fixed known crash issues as well as memory leak problems, refer to ([docs](runtime/readme.md#file-transcription-service-mandarin-cpu)). @@ -143,7 +144,7 @@ ``` Note: `chunk_size` is the configuration for streaming latency.` [0,10,5]` indicates that the real-time display granularity is `10*60=600ms`, and the lookahead information is `5*60=300ms`. Each inference input is `600ms` (sample points are `16000*0.6=960`), and the output is the corresponding text. For the last speech segment input, `is_final=True` needs to be set to force the output of the last word. -### Voice Activity Detection (streaming) +### Voice Activity Detection (Non-Streaming) ```python from funasr import AutoModel @@ -152,7 +153,7 @@ res = model.generate(input=wav_file) print(res) ``` -### Voice Activity Detection (Non-streaming) +### Voice Activity Detection (Streaming) ```python from funasr import AutoModel -- Gitblit v1.9.1