| New file |
| | |
|---|
| | | from modelscope.pipelines import pipeline |
|---|
| | | from modelscope.utils.constant import Tasks |
|---|
| | | |
|---|
| | | |
|---|
| | | if __name__ == '__main__': |
|---|
| | | param_dict = dict() |
|---|
| | | param_dict['hotword'] = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/hotword.txt" |
|---|
| | | |
|---|
| | | audio_in = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_hotword.wav" |
|---|
| | | output_dir = None |
|---|
| | | batch_size = 1 |
|---|
| | | |
|---|
| | | inference_pipeline = pipeline( |
|---|
| | | task=Tasks.auto_speech_recognition, |
|---|
| | | model="damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404", |
|---|
| | | output_dir=output_dir, |
|---|
| | | batch_size=batch_size, |
|---|
| | | param_dict=param_dict) |
|---|
| | | |
|---|
| | | rec_result = inference_pipeline(audio_in=audio_in) |
|---|
| | | print(rec_result) |
|---|
