From f57b68121a526baea43b2e93f4540d8a2995f633 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 29 四月 2024 15:15:24 +0800
Subject: [PATCH] batch

---
 README.md |   15 ++++++++-------
 1 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index 38fd686..faa758c 100644
--- a/README.md
+++ b/README.md
@@ -14,6 +14,7 @@
 | [**News**](https://github.com/alibaba-damo-academy/FunASR#whats-new) 
 | [**Installation**](#installation)
 | [**Quick Start**](#quick-start)
+| [**Tutorial**](https://github.com/alibaba-damo-academy/FunASR/blob/main/docs/tutorial/README.md)
 | [**Runtime**](./runtime/readme.md)
 | [**Model Zoo**](#model-zoo)
 | [**Contact**](#contact)
@@ -67,7 +68,7 @@
 ```
 
 ## Model Zoo
-FunASR has open-sourced a large number of pre-trained models on industrial data. You are free to use, copy, modify, and share FunASR models under the [Model License Agreement](./MODEL_LICENSE). Below are some representative models, for more models please refer to the [Model Zoo]().
+FunASR has open-sourced a large number of pre-trained models on industrial data. You are free to use, copy, modify, and share FunASR models under the [Model License Agreement](./MODEL_LICENSE). Below are some representative models, for more models please refer to the [Model Zoo](./model_zoo).
 
 (Note: 猸� represents the ModelScope model zoo, 馃 represents the Huggingface model zoo, 馃崁 represents the OpenAI model zoo)
 
@@ -97,7 +98,7 @@
 <a name="quick-start"></a>
 ## Quick Start
 
-Below is a quick start tutorial. Test audio files ([Mandarin](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav), [English]()).
+Below is a quick start tutorial. Test audio files ([Mandarin](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav), [English](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_en.wav)).
 
 ### Command-line usage
 
@@ -112,7 +113,7 @@
 from funasr import AutoModel
 # paraformer-zh is a multi-functional asr model
 # use vad, punc, spk or not as you need
-model = AutoModel(model="paraformer-zh",  vad_model="fsmn-vad",  punc_model="ct-punc-c", 
+model = AutoModel(model="paraformer-zh",  vad_model="fsmn-vad",  punc_model="ct-punc", 
                   # spk_model="cam++", 
                   )
 res = model.generate(input=f"{model.model_path}/example/asr_example.wav", 
@@ -154,7 +155,7 @@
 from funasr import AutoModel
 
 model = AutoModel(model="fsmn-vad")
-wav_file = f"{model.model_path}/example/asr_example.wav"
+wav_file = f"{model.model_path}/example/vad_example.wav"
 res = model.generate(input=wav_file)
 print(res)
 ```
@@ -207,8 +208,8 @@
 res = model.generate(input=(wav_file, text_file), data_type=("sound", "text"))
 print(res)
 ```
-
-More examples ref to [docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining)
+More usages ref to [docs](docs/tutorial/README_zh.md), 
+more examples ref to [demo](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining)
 
 
 ## Export ONNX
@@ -227,7 +228,7 @@
 res = model.export(quantize=False)
 ```
 
-### Text ONNX
+### Test ONNX
 ```python
 # pip3 install -U funasr-onnx
 from funasr_onnx import Paraformer

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