From b66a41fb735c164e525b18a45769141413d30ffe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=B8=B8=E9=9B=81?= <zhifu.gzf@alibaba-inc.com>
Date: Thu, 21 Dec 2023 21:28:14 +0800
Subject: [PATCH] funasr1.0

---
 README_zh.md | 56 ++++++++++++++++++++++++++++++++++------------------
 1 file changed, 37 insertions(+), 19 deletions(-)

diff --git a/README_zh.md b/README_zh.md
index 5007da166..274e14b1f 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -92,30 +92,48 @@ print(res)
 ```
 注：`model_hub`：表示模型仓库，`ms`为选择modelscope下载，`hf`为选择huggingface下载。
 
-### 实时语音识别
-```python
-from funasr import infer
+[//]: # (### 实时语音识别)
 
-p = infer(model="paraformer-zh-streaming", model_hub="ms")
+[//]: # (```python)
 
-chunk_size = [0, 10, 5] #[0, 10, 5] 600ms, [0, 8, 4] 480ms
-param_dict = {"cache": dict(), "is_final": False, "chunk_size": chunk_size, "encoder_chunk_look_back": 4, "decoder_chunk_look_back": 1}
+[//]: # (from funasr import infer)
 
-import torchaudio
-speech = torchaudio.load("asr_example_zh.wav")[0][0]
-speech_length = speech.shape[0]
+[//]: # ()
+[//]: # (p = infer&#40;model="paraformer-zh-streaming", model_hub="ms"&#41;)
 
-stride_size = chunk_size[1] * 960
-sample_offset = 0
-for sample_offset in range(0, speech_length, min(stride_size, speech_length - sample_offset)):
-    param_dict["is_final"] = True if sample_offset + stride_size >= speech_length - 1 else False
-    input = speech[sample_offset: sample_offset + stride_size]
-    rec_result = p(input=input, param_dict=param_dict)
-    print(rec_result)
-```
-注：`chunk_size`为流式延时配置，`[0,10,5]`表示上屏实时出字粒度为`10*60=600ms`，未来信息为`5*60=300ms`。每次推理输入为`600ms`（采样点数为`16000*0.6=960`），输出为对应文字，最后一个语音片段输入需要设置`is_final=True`来强制输出最后一个字。
+[//]: # ()
+[//]: # (chunk_size = [0, 10, 5] #[0, 10, 5] 600ms, [0, 8, 4] 480ms)
 
-更多详细用法（[新人文档](https://alibaba-damo-academy.github.io/FunASR/en/funasr/quick_start_zh.html)）
+[//]: # (param_dict = {"cache": dict&#40;&#41;, "is_final": False, "chunk_size": chunk_size, "encoder_chunk_look_back": 4, "decoder_chunk_look_back": 1})
+
+[//]: # ()
+[//]: # (import torchaudio)
+
+[//]: # (speech = torchaudio.load&#40;"asr_example_zh.wav"&#41;[0][0])
+
+[//]: # (speech_length = speech.shape[0])
+
+[//]: # ()
+[//]: # (stride_size = chunk_size[1] * 960)
+
+[//]: # (sample_offset = 0)
+
+[//]: # (for sample_offset in range&#40;0, speech_length, min&#40;stride_size, speech_length - sample_offset&#41;&#41;:)
+
+[//]: # (    param_dict["is_final"] = True if sample_offset + stride_size >= speech_length - 1 else False)
+
+[//]: # (    input = speech[sample_offset: sample_offset + stride_size])
+
+[//]: # (    rec_result = p&#40;input=input, param_dict=param_dict&#41;)
+
+[//]: # (    print&#40;rec_result&#41;)
+
+[//]: # (```)
+
+[//]: # (注：`chunk_size`为流式延时配置，`[0,10,5]`表示上屏实时出字粒度为`10*60=600ms`，未来信息为`5*60=300ms`。每次推理输入为`600ms`（采样点数为`16000*0.6=960`），输出为对应文字，最后一个语音片段输入需要设置`is_final=True`来强制输出最后一个字。)
+
+[//]: # ()
+[//]: # (更多详细用法（[新人文档]&#40;https://alibaba-damo-academy.github.io/FunASR/en/funasr/quick_start_zh.html&#41;）)
 
 
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