From d79287c37e4e7ae2694a992cbbfb03a5ca4f7670 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 20 二月 2024 14:05:58 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR merge

---
 examples/industrial_data_pretraining/fsmn_vad_streaming/demo.py |   10 ++++++----
 1 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/examples/industrial_data_pretraining/fsmn_vad_streaming/demo.py b/examples/industrial_data_pretraining/fsmn_vad_streaming/demo.py
index 459dfff..f043123 100644
--- a/examples/industrial_data_pretraining/fsmn_vad_streaming/demo.py
+++ b/examples/industrial_data_pretraining/fsmn_vad_streaming/demo.py
@@ -6,10 +6,9 @@
 from funasr import AutoModel
 wav_file = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav"
 
-chunk_size = 60000 # ms
-model = AutoModel(model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", model_revision="v2.0.2")
+model = AutoModel(model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", model_revision="v2.0.4")
 
-res = model(input=wav_file, chunk_size=chunk_size, )
+res = model.generate(input=wav_file)
 print(res)
 
 
@@ -20,6 +19,7 @@
 wav_file = os.path.join(model.model_path, "example/vad_example.wav")
 speech, sample_rate = soundfile.read(wav_file)
 
+chunk_size = 200 # ms
 chunk_stride = int(chunk_size * sample_rate / 1000)
 
 cache = {}
@@ -28,10 +28,12 @@
 for i in range(total_chunk_num):
     speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride]
     is_final = i == total_chunk_num - 1
-    res = model(input=speech_chunk,
+    res = model.generate(input=speech_chunk,
                 cache=cache,
                 is_final=is_final,
                 chunk_size=chunk_size,
+                disable_pbar=True,
                 )
+    # print(res)
     if len(res[0]["value"]):
         print(res)

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