如何在 VOSK 语音识别中使用 Wave 文件作为输入？

问题描述

我有一个项目需要获取一个录制的文件，然后通过代码进行处理并从文件中提取文本并将提取的文件与其他文本进行匹配并进行验证。 我的问题是： 我不能在代码中使用记录的文件，它不读取文件

init 函数是代码的基础。

验证功能确认匹配的语音和文本。

import argparse
import json
import os
import queue
import random
import sys
from difflib import SequenceMatcher
import numpy as np
import sounddevice as sd
import vosk

q = queue.Queue()

def int_or_str(text):
    """Helper function for argument parsing."""
    try:
        return int(text)
    except ValueError:
        return text


def callback(indata,frames,time,status):
    """This is called (from a separate thread) for each audio block."""
    if status:
        print(status,file=sys.stderr)
    q.put(bytes(indata))



def init():
    parser = argparse.ArgumentParser(add_help=False)
    parser.add_argument(
        '-l','--list-devices',action='store_true',help='show list of audio devices and exit')
    args,remaining = parser.parse_known_args()
    if args.list_devices:
        print(sd.query_devices())
        parser.exit(0)
    parser = argparse.ArgumentParser(
        description=__doc__,formatter_class=argparse.RawDescriptionHelpFormatter,parents=[parser])
    parser.add_argument(
        '-f','--filename',type=str,metavar='FILENAME',help='audio file to store recording to')
    parser.add_argument(
        '-m','--model',metavar='MODEL_PATH',help='Path to the model')
    parser.add_argument(
        '-d','--device',type=int_or_str,help='input device (numeric ID or substring)')
    parser.add_argument(
        '-r','--samplerate',type=int,help='sampling rate')
    args = parser.parse_args(remaining)
    try:
        if args.model is None:
            args.model = "model"
        if not os.path.exists(args.model):
            print("Please download a model for your language from https://alphacephei.com/vosk/models")
            print("and unpack as 'model' in the current folder.")
            parser.exit(0)
        if args.samplerate is None:
            device_info = sd.query_devices(args.device,'input')
            # soundfile expects an int,sounddevice provides a float:
            args.samplerate = int(device_info['default_samplerate'])

        model = vosk.Model(args.model)

        if args.filename:
            dump_fn = open(args.filename,"wb")
        else:
            dump_fn = None

        
    except KeyboardInterrupt:
        print('\nDone')
        parser.exit(0)
    except Exception as e:
        parser.exit(type(e).__name__ + ': ' + str(e))

    return model,args
def verify(random_sentence,model,args):
    num,T_num,F_num,num_word = 0,1
    with sd.RawInputStream(samplerate=args.samplerate,blocksize=8000,device=args.device,dtype='int16',channels=1,callback=callback):
        rec = vosk.KaldiRecognizer(model,args.samplerate)
        print("{}) ".format(num_word),random_sentence,end='\n')
        print('=' * 30,end='\n')
        run = True
        while run:
            data = q.get()
            if rec.AcceptWaveform(data):
                res = json.loads(rec.FinalResult())
                res['text'] = res['text'].replace('ي','ی')             
                if SequenceMatcher(None,res['text']).ratio() > 0.65:                    
                    T_num,num,num_word += 1
                    
                else:
                    F_num,num_word += 1
                    
                run = False

    print('=' * 30)
    print('True Cases : {}\n False Cases : {}'.format(T_num,F_num))


if __name__ == "__main__":
    model,args = init()
    verify(random_sentences,args)

解决方法

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