Introduce

This repo cloned from https://huggingface.co/funasr/Paraformer-large

Install funasr_onnx

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

Download the model

git clone https://huggingface.co/hoangus0303/paraformer-large-clone-from-funasr

Inference with runtime

Speech Recognition

Paraformer

from funasr_onnx import Paraformer

model_dir = "./paraformer-large"
model = Paraformer(model_dir, batch_size=1, quantize=True)

wav_path = ['./funasr/paraformer-large/asr_example.wav']

result = model(wav_path)
print(result)

model_dir: the model path, which contains model.onnx, config.yaml, am.mvn
batch_size: 1 (Default), the batch size duration inference
device_id: -1 (Default), infer on CPU. If you want to infer with GPU, set it to gpu_id (Please make sure that you have install the onnxruntime-gpu)
quantize: False (Default), load the model of model.onnx in model_dir. If set True, load the model of model_quant.onnx in model_dir
intra_op_num_threads: 4 (Default), sets the number of threads used for intraop parallelism on CPU

Input: wav formt file, support formats: str, np.ndarray, List[str]

Output: List[str]: recognition result

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