| | |
|---|
| | | |
|---|
| | | [FunASR](https://github.com/alibaba-damo-academy/FunASR) 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 released on ModelScope, 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！ |
|---|
| | | |
|---|
| | | ### Introduction |
|---|
| | | - Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary). |
|---|
| | | |
|---|
| | | ### Steps: |
|---|
| | | 1. Export the model. |
|---|
| | |
|---|
| | | |
|---|
| | | ```shell |
|---|
| | | git clone https://github.com/alibaba/FunASR.git && cd FunASR |
|---|
| | | cd funasr/runtime/python/funasr_torch |
|---|
| | | python setup.py build |
|---|
| | | python setup.py install |
|---|
| | | cd funasr/runtime/python/libtorch |
|---|
| | | pip install -e ./ |
|---|
| | | ``` |
|---|
| | | |
|---|
| | | 3. Run the demo. |
|---|
| | |
|---|
| | | print(result) |
|---|
| | | ``` |
|---|
| | | |
|---|
| | | ## Performance benchmark |
|---|
| | | |
|---|
| | | Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_libtorch.md) |
|---|
| | | |
|---|
| | | ## Speed |
|---|
| | | |
|---|
| | | Environment：Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz |
|---|
