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- #!/usr/bin/env python3
- # -*- encoding: utf-8 -*-
- # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
- # MIT License (https://opensource.org/licenses/MIT)
- from funasr import AutoModel
- model = AutoModel(model="iic/LCB-NET")
- # example1
- #res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
- # )
- #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)
- res = model.generate(input=[input_tensor], batch_size_s=300, is_final=True)
- # example3
- import soundfile
- 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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