FunASR/examples/industrial_data_pretraining/paraformer/demo.py
2024-01-22 11:55:36 +08:00

29 lines
1.2 KiB
Python

#!/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="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", model_revision="v2.0.3",
# vad_model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
# vad_model_revision="v2.0.2",
# punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
# punc_model_revision="v2.0.3",
)
res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav")
print(res)
''' can not use currently
from funasr import AutoFrontend
frontend = AutoFrontend(model="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", model_revision="v2.0.2")
fbanks = frontend(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", batch_size=2)
for batch_idx, fbank_dict in enumerate(fbanks):
res = model.generate(**fbank_dict)
print(res)
'''