From 8c570abd1bc197037c2b7bd78b59c647d56cec1a Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期二, 25 四月 2023 14:40:48 +0800
Subject: [PATCH] update timestamp doc

---
 egs_modelscope/vad/TEMPLATE/README.md |    4 ++--
 1 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/egs_modelscope/vad/TEMPLATE/README.md b/egs_modelscope/vad/TEMPLATE/README.md
index aef7dc8..6f746d5 100644
--- a/egs_modelscope/vad/TEMPLATE/README.md
+++ b/egs_modelscope/vad/TEMPLATE/README.md
@@ -1,7 +1,7 @@
 # Voice Activity Detection
 
 > **Note**: 
-> The modelscope pipeline supports all the models in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope) to inference and finetine. Here we take the model of FSMN-VAD as example to demonstrate the usage.
+> The modelscope pipeline supports all the models in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope) to inference and finetune. Here we take the model of FSMN-VAD as example to demonstrate the usage.
 
 ## Inference
 
@@ -57,7 +57,7 @@
   - pcm_path, `e.g.`: asr_example.pcm, 
   - audio bytes stream, `e.g.`: bytes data from a microphone
   - audio sample point锛宍e.g.`: `audio, rate = soundfile.read("asr_example_zh.wav")`, the dtype is numpy.ndarray or torch.Tensor
-  - wav.scp, kaldi style wav list (`wav_id \t wav_path``), `e.g.`: 
+  - wav.scp, kaldi style wav list (`wav_id \t wav_path`), `e.g.`: 
   ```text
   asr_example1  ./audios/asr_example1.wav
   asr_example2  ./audios/asr_example2.wav

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