pydub.exceptions.CouldntDecodeError：解码失败。ffmpeg 返回错误代码：1

Question

这个脚本可以处理 30 秒的 wav 文件，但不能处理 10 分钟的 wav 格式的电话。任何帮助，将不胜感激

我已经下载了ffmpeg。

# Import necessary libraries 
from pydub import AudioSegment 
import speech_recognition as sr 
import os
import pydub


chunk_count = 0
directory = os.fsencode(r'C:\Users\zach.blair\Downloads\speechRecognition\New folder')
# Text file to write the recognized audio 
fh = open("recognized.txt", "w+")
for file in os.listdir(directory):
     filename = os.fsdecode(file)
     if filename.endswith(".wav"):
        chunk_count += 1
             # Input audio file to be sliced 
        audio = AudioSegment.from_file(filename,format="wav") 

        ''' 
        Step #1 - Slicing the audio file into smaller chunks. 
        '''
        # Length of the audiofile in milliseconds 
        n = len(audio) 

        # Variable to count the number of sliced chunks 
        counter = 1



        # Interval length at which to slice the audio file. 
        interval = 20 * 1000

        # Length of audio to overlap.  
        overlap = 1 * 1000

        # Initialize start and end seconds to 0 
        start = 0
        end = 0

        # Flag to keep track of end of file. 
        # When audio reaches its end, flag is set to 1 and we break 
        flag = 0

        # Iterate from 0 to end of the file, 
        # with increment = interval 
        for i in range(0, 2 * n, interval): 

            # During first iteration, 
            # start is 0, end is the interval 
            if i == 0: 
                start = 0
                end = interval 

            # All other iterations, 
            # start is the previous end - overlap 
            # end becomes end + interval 
            else: 
                start = end - overlap 
                end = start + interval  

            # When end becomes greater than the file length, 
            # end is set to the file length 
            # flag is set to 1 to indicate break. 
            if end >= n: 
                end = n 
                flag = 1

            # Storing audio file from the defined start to end 
            chunk = audio[start:end] 

            # Filename / Path to store the sliced audio 
            filename = str(chunk_count)+'chunk'+str(counter)+'.wav'

            # Store the sliced audio file to the defined path 
            chunk.export(filename, format ="wav") 
            # Print information about the current chunk 
            print(str(chunk_count)+str(counter)+". Start = "
                                +str(start)+" end = "+str(end)) 

            # Increment counter for the next chunk 
            counter = counter + 1


            AUDIO_FILE = filename 

            # Initialize the recognizer 
            r = sr.Recognizer() 

            # Traverse the audio file and listen to the audio 
            with sr.AudioFile(AUDIO_FILE) as source: 
                audio_listened = r.listen(source) 

            # Try to recognize the listened audio 
            # And catch expections. 
            try:     
                rec = r.recognize_google(audio_listened) 

                # If recognized, write into the file. 
                fh.write(rec+" ") 

            # If google could not understand the audio 
            except sr.UnknownValueError: 
                    print("Empty Value") 

            # If the results cannot be requested from Google. 
            # Probably an internet connection error. 
            except sr.RequestError as e: 
                print("Could not request results.") 

            # Check for flag. 
            # If flag is 1, end of the whole audio reached. 
            # Close the file and break.                  
fh.close()    

回溯（最近一次通话）：文件“C:\Users\zach.blair\Downloads\speechRecognition\New folder\speechRecognition3.py”，第 17 行，音频 = AudioSegment.from_file(filename,format="wav") 文件“C:\Users\zach.blair\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pydub\audio_segment.py”，第 704 行，在 from_file p.returncode, p_err)) pydub.exceptions .CouldntDecodeError：解码失败。ffmpeg 返回错误代码：1

来自 ffmpeg/avlib 的输出：

b"ffmpeg 版本 N-95027-g8c90bb8ebb 版权所有 (c) 2000-2019 FFmpeg 开发人员\r\n 使用 gcc 9.2.1 (GCC) 20190918 构建\r\n 配置：--enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora - -enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib - -enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable- ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf\r\n libavutil 56。35.100 / 56. 35.100\r\n libavcodec 58. 58.101 / 58. 58.101\r\n libavformat 58. 33.100 / 58. 33.100\r\n libavdevice 58. 9.50.10r\n libavdevice 58. 9.50.107 / libavcode 58.1007\r\n 7. 58.102\r\n libswscale 5. 6.100 / 5. 6.100\r\n libswresample 3. 6.100 / 3. 6.100\r\n libpostproc 55. 6.100 / 55. 6.100\r\nGuesse 通道输入\r\nGuesse ：单声道\r\n输入 #0，wav，来自“2a.wav.wav”：\r\n 持续时间：00:09:52.95，比特率：64 kb/s\r\n 流 #0:0：音频： pcm_mulaw ([7][0][0][0] / 0x0007)，8000 Hz，单声道，s16，64 kb/s\r\n流映射：\r\n 流 #0:0 -> #0:0 (pcm_mulaw (native) -> pcm_s8 (native))\r\n按 [q] 停止，按 [?] 寻求帮助\r\n[wav @ 0000024307974400] WAVE 格式不支持 pcm_s8 编解码器\r\n无法写入标头对于输出文件 #0（编解码器参数不正确？）：函数未实现\r\n初始化输出流 0:0 时出错 -- \r\n转换失败！\r\n"