游雁
2024-02-19 94de39dde2e616a01683c518023d0fab72b4e103
examples/industrial_data_pretraining/seaco_paraformer/demo.py
@@ -11,20 +11,25 @@
                  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",
                  # spk_model_revision="v2.0.2",
                  spk_model="damo/speech_campplus_sv_zh-cn_16k-common",
                  spk_model_revision="v2.0.2",
                  )
# example1
res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
                     hotword='达摩院 魔搭',
                     # preset_spk_num=2,
                     # 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
wav_file = os.path.join(model.model_path, "example/asr_example.wav")
input_tensor, sample_rate = torchaudio.load(wav_file)
input_tensor = input_tensor.mean(0)
@@ -33,8 +38,8 @@
# example3
import soundfile
import os
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)
'''