From 30aa982bf29ceefaf52c0013c12c19adc57dea0e Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 27 四月 2023 21:11:04 +0800
Subject: [PATCH] docs

---
 egs_modelscope/speaker_diarization/TEMPLATE/README.md |    6 +++---
 1 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/egs_modelscope/speaker_diarization/TEMPLATE/README.md b/egs_modelscope/speaker_diarization/TEMPLATE/README.md
index 2cd702c..99c9b59 100644
--- a/egs_modelscope/speaker_diarization/TEMPLATE/README.md
+++ b/egs_modelscope/speaker_diarization/TEMPLATE/README.md
@@ -37,8 +37,8 @@
 print(results)
 ```
 
-#### API-reference
-##### Define pipeline
+### API-reference
+#### Define pipeline
 - `task`: `Tasks.speaker_diarization`
 - `model`: model name in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope), or model path in local disk
 - `ngpu`: `1` (Default), decoding on GPU. If ngpu=0, decoding on CPU
@@ -50,7 +50,7 @@
   - vad format: spk1: [1.0, 3.0], [5.0, 8.0]
   - rttm format: "SPEAKER test1 0 1.00 2.00 <NA> <NA> spk1 <NA> <NA>" and "SPEAKER test1 0 5.00 3.00 <NA> <NA> spk1 <NA> <NA>"
 
-##### Infer pipeline for speaker embedding extraction
+#### Infer pipeline for speaker embedding extraction
 - `audio_in`: the input to process, which could be: 
   - list of url: `e.g.`: waveform files at a website
   - list of local file path: `e.g.`: path/to/a.wav

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