python百度ai语音识别-音频分割-ffmpeg mp3转pcm - 生成txt文件

安装百度语音识别sdk
安装百度-aip 库
pip install baidu-aip
使用ffmpeg命令

from pydub import AudioSegment
from pydub.utils import mediainfo
import os
from aip import AipSpeech

os.remove(r'C:\Users\Administrator\Desktop\save\识别结果.txt')
input_filename = input(r'请将文件放入C:\Users\Administrator\Desktop\save\ 文件夹路径下！\n 请输入文件名*.mp3:')

file_name = r'C:\Users\Administrator\Desktop\save/'+input_filename

def sound_cut(file_name,cut_song_num):
    sound = AudioSegment.from_mp3(file_name)
    # 单位：ms
    stat_time = 0
    end_time = 59

    for i in range(cut_song_num):
        if i == cut_song_num - 1 :   #判断如果是最后一次截断
            cut_song = sound[stat_time*1000:]   #截取到最后的时间
        else:
            cut_song = sound[stat_time*1000:end_time*1000]
        save_name = r"c:/Users/Administrator/Desktop/save/temp-"+ str(i+1) +'.mp3' #设置文件保存名称
        save_name_pcm = r"c:/Users/Administrator/Desktop/save/temp-"+ str(i+1) +'.pcm' #设置文件保存名称
        cut_song.export(save_name, format="mp3",tags={'artist': '李斯特', 'album': '最爱'})  #进行切割
        order_ffmpeg = 'ffmpeg -i {} -f s16le -ar 16000 -ac 1 -acodec pcm_s16le {}'.format(save_name,save_name_pcm)
        os.system(order_ffmpeg) #使用ffmpeg命令转化mp3为pcm
        context = baidu_Speech_To_Text(save_name_pcm)
        write_text(context)
        os.remove(save_name) #删除mp3文件
        os.remove(save_name_pcm)
        #切割完加入下一段的参数
        stat_time +=59
        end_time +=59
        
        print(save_name,'end_time=',stat_time,'end_time=',end_time)


def get_sond_info(file_name):
    song = mediainfo(file_name)
    song_length = str(int(float(song['duration']))) #读取文件时长
    song_size = str(round(float(int(song['size'])/1024/1024),2)) + 'M'    #读取文件大小保留两位小数round(变量,2)
    song_filename = song['filename'] # 读取文件地址
    song_format_name = song['format_name'] #读取文件格式
    try:
        song_name = song['TAG']['title'] #读取标题
        song_artist = song['TAG']['artist'] #读取作家
    except:
        song_name = '暂无' 
        song_artist = '暂无' 
    

    print('歌名：',song_name,'\n作家',song_artist,'\n歌曲长度',song_length,'\n文件大小',song_size,'\n文件路径',song_filename,'\n文件格式',song_format_name)

    cut_song_num = int(int(song_length) / 59)  + 1  #每段59s，计算切割段数
    print('切割次数',cut_song_num)

    return cut_song_num

def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()


def baidu_Speech_To_Text(filePath):  #百度语音识别
    path = r'C:\Users\Administrator\Desktop\save'
    os.chdir(path)
    APP_ID = '你的百度id'
    API_KEY = '你的key'
    SECRET_KEY = '你的secret'

    aipSpeech = AipSpeech(APP_ID, API_KEY, SECRET_KEY) # 初始化AipSpeech对象
    # 读取文件
    json = aipSpeech.asr(get_file_content(filePath), 'pcm', 16000, {
    'dev_pid': 1537,
    })
    print(json['err_msg'])
    if 'success' in json['err_msg']:
        context = json['result'][0]
        print('成功，返回结果为：',context)
    else:
        print('识别失败！')
    return context

def write_text(text):
    file1 = open(r'C:\Users\Administrator\Desktop\save\识别结果.txt','a',encoding='utf-8')
    file1.write(text)
    file1.close()

cut_song_num = get_sond_info(file_name)
sound_cut(file_name,cut_song_num)

最后结果：识别mp3文件，输出 识别结果.txt