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| | | [](https://pypi.org/project/funasr/) |
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| | | |
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| | | <p align="center"> |
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| | | <a href="https://trendshift.io/repositories/3839" target="_blank"><img src="https://trendshift.io/api/badge/repositories/3839" alt="alibaba-damo-academy%2FFunASR | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> |
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| | | <a href="https://trendshift.io/repositories/3839" target="_blank"><img src="https://trendshift.io/api/badge/repositories/3839" alt="modelscope%2FFunASR | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> |
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| | | </p> |
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| | | |
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| | | <strong>FunASR</strong> hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model, researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！ |
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| | |
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| | | ### Test ONNX |
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| | | ```python |
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| | | # pip3 install -U funasr-onnx |
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| | | from funasr_onnx import Paraformer |
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| | | from pathlib import Path |
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| | | from runtime.python.onnxruntime.funasr_onnx.paraformer_bin import Paraformer |
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| | | |
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| | | |
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| | | home_dir = Path.home() |
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| | | |
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| | | model_dir = "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" |
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| | | model = Paraformer(model_dir, batch_size=1, quantize=True) |
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| | | |
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| | | wav_path = ['~/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav'] |
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| | | wav_path = [f"{home_dir}/.cache/modelscope/hub/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav"] |
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| | | |
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| | | result = model(wav_path) |
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| | | print(result) |
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