metadata
license: apache-2.0
Install the funasr_onnx
install from pip
pip install -U funasr_onnx
# For the users in China, you could install with the command:
# pip install -U funasr_onnx -i https://mirror.sjtu.edu.cn/pypi/web/simple
Inference with runtime
Speech Recognition
Paraformer
from funasr_onnx import Paraformer
model_dir = "./export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1, quantize=True)
wav_path = ['./export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']
result = model(wav_path)
print(result)
- Model_dir: the model path, which contains
model.onnx
,config.yaml
,am.mvn
- Input: wav formt file, support formats:
str, np.ndarray, List[str]
- Output:
List[str]
: recognition result
Performance benchmark
Please ref to benchmark