From 9c0fa3c0a435478fe0b36810cfc5ca273d4593f7 Mon Sep 17 00:00:00 2001
From: nichongjia-2007 <nichongjia@gmail.com>
Date: 星期二, 11 七月 2023 17:36:22 +0800
Subject: [PATCH] Merge branch 'main' of https://github.com/alibaba-damo-academy/FunASR
---
README.md | 17 ++++++++++++++---
1 files changed, 14 insertions(+), 3 deletions(-)
diff --git a/README.md b/README.md
index 26cf940..3fbbbb4 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,7 @@
[//]: # (<div align="left"><img src="docs/images/funasr_logo.jpg" width="400"/></div>)
+([绠�浣撲腑鏂嘳(./README_zh.md)|English)
+
# FunASR: A Fundamental End-to-End Speech Recognition Toolkit
<p align="left">
<a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-brightgreen.svg"></a>
@@ -20,9 +22,18 @@
| [**M2MET2.0 Challenge**](https://github.com/alibaba-damo-academy/FunASR#multi-channel-multi-party-meeting-transcription-20-m2met20-challenge)
## What's new:
+
+### FunASR runtime-SDK
+
+- 2023.07.03:
+We have release the FunASR runtime-SDK-0.1.0, file transcription service (Mandarin) is now supported ([ZH](funasr/runtime/readme_cn.md)/[EN](funasr/runtime/readme.md))
+
### Multi-Channel Multi-Party Meeting Transcription 2.0 (M2MeT2.0) Challenge
+
We are pleased to announce that the M2MeT2.0 challenge has been accepted by the ASRU 2023 challenge special session. The registration is now open. The baseline system is conducted on FunASR and is provided as a receipe of AliMeeting corpus. For more details you can see the guidence of M2MET2.0 ([CN](https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/index.html)/[EN](https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html)).
+
### Release notes
+
For the release notes, please ref to [news](https://github.com/alibaba-damo-academy/FunASR/releases)
## Highlights
@@ -100,13 +111,13 @@
For the server:
```shell
cd funasr/runtime/python/websocket
-python wss_srv_asr.py --port 10095
+python funasr_wss_server.py --port 10095
```
For the client:
```shell
-python wss_client_asr.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "5,10,5"
-#python wss_client_asr.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "8,8,4" --audio_in "./data/wav.scp" --output_dir "./results"
+python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "5,10,5"
+#python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "8,8,4" --audio_in "./data/wav.scp" --output_dir "./results"
```
More examples could be found in [docs](https://alibaba-damo-academy.github.io/FunASR/en/runtime/websocket_python.html#id2)
## Contact
--
Gitblit v1.9.1