将 mp4 转换为 wav 后使用 python 语音识别获取文件读取错误

Question

我一直在使用以下脚本将 mp4 文件批量转换为 wav，第二个脚本将语音写入文本。我运行成功了一段时间，并转换了大约 2000 个音频文件。所有文件的长度都小于 60 秒。然后突然 speech_recognition 停止工作，每个文件都会出现以下错误。

"文件读取错误：无法将音频文件读取为 PCM WAV、AIFF/AIFF-C 或 Native FLAC；检查文件是否已损坏或为其他格式"

如有任何帮助，我们将不胜感激。

这是我将 mp4 转换为 wav 的代码：

#!/usr/bin/env python3
#convert mp4 to wav
import os
import sys
import glob
from pydub import AudioSegment


folder_path = input("Enter the path for the folder/directory : ")
print("\n Processing...")

#Remove quotes from string
if folder_path[0]=="\"":
    folder_path = folder_path[1:]
if folder_path[-1] == "\"":
    folder_path = folder_path[:-1]

os.chdir(folder_path)
folder = os.listdir(folder_path)

#Count files
wavList = glob.glob(folder_path + r"\*.wav")
mp4List = glob.glob(folder_path + r"\*.mp4")

if(input(str(len(mp4List)) + r" '.mp4' files & " + str(len(wavList)) + r" '.wav' files found. Continue (y/n) : ") != "y"):
    print('canceled by user')
    exit()

#loop through files
print(folder_path)
#for srcfile in folder:     #loop in folder only
for subdir, dirs, files in os.walk(folder_path):
    os.chdir(subdir)
    for srcfile in files:
        print(srcfile)
        if(srcfile[-4:]==".mp4"):     
            wavfile = srcfile[:-3] + "wav"
            print(wavfile)
            if (os.path.isfile(wavfile)):
                if sys.argv[0] == "a":
                    os.remove(wavfile)
            if not (os.path.isfile(wavfile)):
                infile = os.path.join(folder_path, srcfile)
                print(infile)
                wavpath = os.path.join(folder_path, wavfile)
                print(wavpath)
                audio = AudioSegment.from_file(infile, format = "mp4")
                audio.export(wavpath, format = "WAV")

这是我的音频转文本功能。我 t运行cated 它，因为我有很多语音识别引擎的选择，但它还没有那么远。

#!/usr/bin/env python3
import speech_recognition as sr
import os
import json
import atexit

text_count = 0
fail_count = 0
skip_count = 0

def get_audio_text(audio_file, TRANSLATE_OPTION):
    txt = audio_file

    # use the audio file as the audio source
    r = sr.Recognizer()
    try:
        with sr.AudioFile(audio_file) as source:
            audio = r.record(source)  # ERROR HERE
    except Exception as e:
        errStr = "File Read Error: " + str(e)
        print(errStr)
        return errStr

    if(TRANSLATE_OPTION == "s" or TRANSLATE_OPTION == "sphinx"):
        # recognize speech using Sphinx
        try:
            txt = r.recognize_sphinx(audio)
        except sr.UnknownValueError:
            txt ="Sphinx could not understand audio"
        except sr.RequestError as e:
            txt ="Sphinx error; {0}".format(e)

    elif(TRANSLATE_OPTION == "g" or TRANSLATE_OPTION == "google"):
        # recognize speech using Google Speech Recognition
        try:
            # for testing purposes, we're just using the default API key
            # to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
            txt = r.recognize_google(audio)
        except sr.UnknownValueError:
            txt = "Google Speech Recognition could not understand audio"
        except sr.RequestError as e:
            txt = "Could not request results from Google Speech Recognition service; {0}".format(e)
    
    return txt

运行ning on Windows 10. 尝试使用 python3.10 和 python3.9

Answer 1

我发现了我的问题。它根本不在这个函数中。我以某种方式开始将 mp4 而不是 .wav 提供给函数。

这是一个经典案例，我假设调用代码没有问题，然后发现确实如此。（是的，我应该全部分享）。

正确的调用代码：

for subdir, dirs, files in os.walk(folder_path):
    os.chdir(subdir)
    for file in files:
        #print(file, file[-4:])     #for debugging
        if(file[-4:]==".wav"):

            txt = get_audio_text(full_path, trans_optn)

调用代码不正确

for subdir, dirs, files in os.walk(folder_path):
    os.chdir(subdir)
    for file in files:
        #print(file, file[-4:])     #for debugging
        if(file[-4:]==".mp4"):
            txt = get_audio_text(full_path, trans_optn)

老实说，我真的不知道我是怎么搞砸的。

将 mp4 转换为 wav 后使用 python 语音识别获取文件读取错误

Getting File Read Error using python Speech Recognition after converting mp4 to wav

python

speech-recognition

text-to-speech

mp4