From d29f201e3201bde6a984e436888a2aae877e449f Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 19 三月 2024 12:04:50 +0800
Subject: [PATCH] vad conf

---
 examples/industrial_data_pretraining/seaco_paraformer/demo.py |   17 +++++++++++------
 1 files changed, 11 insertions(+), 6 deletions(-)

diff --git a/examples/industrial_data_pretraining/seaco_paraformer/demo.py b/examples/industrial_data_pretraining/seaco_paraformer/demo.py
index 85d989e..69e9020 100644
--- a/examples/industrial_data_pretraining/seaco_paraformer/demo.py
+++ b/examples/industrial_data_pretraining/seaco_paraformer/demo.py
@@ -7,11 +7,11 @@
 
 model = AutoModel(model="iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
                   model_revision="v2.0.4",
-                  vad_model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
-                  vad_model_revision="v2.0.4",
-                  punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
-                  punc_model_revision="v2.0.4",
-                  # spk_model="damo/speech_campplus_sv_zh-cn_16k-common",
+                  # vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+                  # vad_model_revision="v2.0.4",
+                  # punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
+                  # punc_model_revision="v2.0.4",
+                  # spk_model="iic/speech_campplus_sv_zh-cn_16k-common",
                   # spk_model_revision="v2.0.2",
                   )
 
@@ -19,10 +19,15 @@
 # example1
 res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
                      hotword='杈炬懇闄� 榄旀惌',
+                     # return_raw_text=True,     # return raw text recognition results splited by space of equal length with timestamp
+                     # preset_spk_num=2,         # preset speaker num for speaker cluster model
                      # sentence_timestamp=True,  # return sentence level information when spk_model is not given
                     )
 print(res)
 
+
+'''
+# tensor or numpy as input
 # example2
 import torchaudio
 import os
@@ -38,4 +43,4 @@
 wav_file = os.path.join(model.model_path, "example/asr_example.wav")
 speech, sample_rate = soundfile.read(wav_file)
 res = model.generate(input=[speech], batch_size_s=300, is_final=True)
-
+'''

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