| | |
|---|
| | | |
|---|
| | | from funasr import AutoModel |
|---|
| | | |
|---|
| | | model = AutoModel(model="/Users/zhifu/Downloads/modelscope_models/SenseVoice", |
|---|
| | | ) |
|---|
| | | model = AutoModel( |
|---|
| | | model="/Users/zhifu/Downloads/modelscope_models/SenseVoiceModelscope", |
|---|
| | | # vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch", |
|---|
| | | # vad_kwargs={"max_single_segment_time": 30000}, |
|---|
| | | ) |
|---|
| | | |
|---|
| | | res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav") |
|---|
| | | |
|---|
| | | input_wav = ( |
|---|
| | | "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav" |
|---|
| | | ) |
|---|
| | | |
|---|
| | | DecodingOptions = { |
|---|
| | | "task": ("ASR", "AED", "SER"), |
|---|
| | | "language": "auto", |
|---|
| | | "fp16": True, |
|---|
| | | "gain_event": True, |
|---|
| | | "beam_size": 5, |
|---|
| | | } |
|---|
| | | |
|---|
| | | res = model.generate(input=input_wav, batch_size_s=0, DecodingOptions=DecodingOptions) |
|---|
| | | print(res) |
|---|
