| New file |
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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) |
| | | ''' |