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
