From 1b21c1120c447f2d6f012b00bb94ea97bfc9f92c Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 27 二月 2024 10:00:22 +0800
Subject: [PATCH] vad

---
 README.md |    9 +++++++++
 1 files changed, 9 insertions(+), 0 deletions(-)

diff --git a/README.md b/README.md
index 454adc9..22c53da 100644
--- a/README.md
+++ b/README.md
@@ -153,6 +153,8 @@
 res = model.generate(input=wav_file)
 print(res)
 ```
+Note: The output format of the VAD model is: `[[beg1, end1], [beg2, end2], ..., [begN, endN]]`, where `begN/endN` indicates the starting/ending point of the `N-th` valid audio segment, measured in milliseconds.
+
 ### Voice Activity Detection (Streaming)
 ```python
 from funasr import AutoModel
@@ -175,6 +177,13 @@
     if len(res[0]["value"]):
         print(res)
 ```
+Note: The output format for the streaming VAD model can be one of four scenarios:
+- `[[beg1, end1], [beg2, end2], .., [begN, endN]]`锛歍he same as the offline VAD output result mentioned above.
+- `[[beg, -1]]`锛欼ndicates that only a starting point has been detected.
+- `[[-1, end]]`锛欼ndicates that only an ending point has been detected.
+- `[]`锛欼ndicates that neither a starting point nor an ending point has been detected. 
+
+The output is measured in milliseconds and represents the absolute time from the starting point.
 ### Punctuation Restoration
 ```python
 from funasr import AutoModel

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