python百度API实现语音转文字

语音识别转文字可以大大提高我们的办公效率，接下来我将分享我实现语音转文字的代码。

首先让我们来梳理一下思路：

 自动让python内部实现语音转文字无疑是相当困难的，所以我们会需要借助外界的一个平台来帮助我们实现这个功能。在所有平台中最方便，靠谱的就是百度API了。但这也就意味着各位需要自行注册一个百度API账号。链接：百度智能云-智能时代基础设施

 根据我们的大分类，代码可以分为两个部分：录制电脑麦克风音频，音频导入百度API。

录制电脑麦克风音频：

import pyaudio
import wave
from tqdm import tqdm
import sys
import json
import base64
import time
for x in range(10):  #导入循环语句，可以多次进行语音识别，次数可修改（不是指反复录音）
    def record_audio(wave_out_path, record_second):
        CHUNK = 1024
        FORMAT = pyaudio.paInt16
        CHANNELS = 1  # 2
        RATE = 16000  # 44100
        p = pyaudio.PyAudio()
        stream = p.open(format=FORMAT,
                        channels=CHANNELS,
                        rate=RATE,
                        input=True,
                        frames_per_buffer=CHUNK)
        wf = wave.open(wave_out_path, \'wb\')
        wf.setnchannels(CHANNELS)
        wf.setsampwidth(p.get_sample_size(FORMAT))
        wf.setframerate(RATE)
        print(\"* recording\")
        for i in tqdm(range(0, int(RATE / CHUNK * record_second))):
            data = stream.read(CHUNK)
            wf.writeframes(data)
        print(\"* done recording\")
        stream.stop_stream()
        stream.close()
        p.terminate()
        wf.close()


    record_audio(\"output.wav\", record_second=5)#录音时间可以自定义

我们到我的电脑中可以进行查看，该文件就在我们的项目下。

第二步就是导入百度API，代码如下：

    # 百度语音识别：根据output.wav文件生成识别的文字

    IS_PY3 = sys.version_info.major == 3

    if IS_PY3:
        from urllib.request import urlopen
        from urllib.request import Request
        from urllib.error import URLError
        from urllib.parse import urlencode

        timer = time.perf_counter
    else:
        from urllib2 import urlopen
        from urllib2 import Request
        from urllib2 import URLError
        from urllib import urlencode

        if sys.platform == \"win32\":
            timer = time.clock
        else:
            # On most other platforms the best timer is time.time()
            timer = time.time

    API_KEY = \'********************\'
    SECRET_KEY = \'*********************************\'

    # 需要识别的文件
    AUDIO_FILE = \'output.wav\'  # 只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式
    # 文件格式
    FORMAT = AUDIO_FILE[-3:]  # 文件后缀只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式

    CUID = \'123456PYTHON\'
    # 采样率
    RATE = 16000  # 固定值

    # 普通版

    DEV_PID = 1537  # 1537 表示识别普通话，纯英语为1737，中文加盈余混合版为1536
    ASR_URL = \'http://vop.baidu.com/server_api\'
    SCOPE = \'audio_voice_assistant_get\'  # 有此scope表示有asr能力，没有请在网页里勾选，非常旧的应用可能没有




    class DemoError(Exception):
        pass


    \"\"\"  TOKEN start \"\"\"

    TOKEN_URL = \'http://aip.baidubce.com/oauth/2.0/token\'


    def fetch_token():
        params = {\'grant_type\': \'client_credentials\',
                  \'client_id\': API_KEY,
                  \'client_secret\': SECRET_KEY}
        post_data = urlencode(params)
        if (IS_PY3):
            post_data = post_data.encode(\'utf-8\')
        req = Request(TOKEN_URL, post_data)
        try:
            f = urlopen(req)
            result_str = f.read()
        except URLError as err:
            # print(\'token http response http code : \' + str(err.code))
            result_str = err.read()
        if (IS_PY3):
            result_str = result_str.decode()

        # print(result_str)
        result = json.loads(result_str)
        # print(result)
        if (\'access_token\' in result.keys() and \'scope\' in result.keys()):
            # print(SCOPE)
            if SCOPE and (not SCOPE in result[\'scope\'].split(\' \')):  # SCOPE = False 忽略检查
                raise DemoError(\'scope is not correct\')
            # print(\'SUCCESS WITH TOKEN: %s  EXPIRES IN SECONDS: %s\' % (result[\'access_token\'], result[\'expires_in\']))
            return result[\'access_token\']
        else:
            raise DemoError(
                \'MAYBE API_KEY or SECRET_KEY not correct: access_token or scope not found in token response\')


    \"\"\"  TOKEN end \"\"\"

    if __name__ == \'__main__\':
        token = fetch_token()

        speech_data = []
        with open(AUDIO_FILE, \'rb\') as speech_file:
            speech_data = speech_file.read()

        length = len(speech_data)

        if length == 0:
            raise DemoError(\'file %s length read 0 bytes\' % AUDIO_FILE)

        speech = base64.b64encode(speech_data)
        if (IS_PY3):
            speech = str(speech, \'utf-8\')
        params = {\'dev_pid\': DEV_PID,
                  # \"lm_id\" : LM_ID,    #测试自训练平台开启此项
                  \'format\': FORMAT,
                  \'rate\': RATE,
                  \'token\': token,
                  \'cuid\': CUID,
                  \'channel\': 1,
                  \'speech\': speech,
                  \'len\': length
                  }
        post_data = json.dumps(params, sort_keys=False)
        # print post_data
        req = Request(ASR_URL, post_data.encode(\'utf-8\'))
        req.add_header(\'Content-Type\', \'application/json\')
        try:
            begin = timer()
            f = urlopen(req)
            result_str = f.read()
            # print(\"Request time cost %f\" % (timer() - begin))
        except URLError as err:
            # print(\'asr http response http code : \' + str(err.code))
            result_str = err.read()

        if (IS_PY3):
            result_str = str(result_str, \'utf-8\')

        # print(result_str)
        #print(str(json.loads(result_str)[\'result\'])[2:-2])

        with open(\"result.txt\", \"w\") as of:
            of.write(result_str)

        final = str(json.loads(result_str)[\'result\'])[2:-2].split(\"。\")
        final_order = \"\".join(final)   #中文转换会产生标点符号，这两行代码可以去除

最终代码如下：

from urllib.request import urlopen

import pyttsx3
import pyaudio
import wave

from bs4 import BeautifulSoup
from tqdm import tqdm
import sys
import json
import base64
import time
import requests
for Jarvis in range(100):
    def record_audio(wave_out_path, record_second):
        CHUNK = 1024
        FORMAT = pyaudio.paInt16
        CHANNELS = 1  # 2
        RATE = 16000  # 44100
        p = pyaudio.PyAudio()
        stream = p.open(format=FORMAT,
                        channels=CHANNELS,
                        rate=RATE,
                        input=True,
                        frames_per_buffer=CHUNK)
        wf = wave.open(wave_out_path, \'wb\')
        wf.setnchannels(CHANNELS)
        wf.setsampwidth(p.get_sample_size(FORMAT))
        wf.setframerate(RATE)
        print(\"* recording\")
        for i in tqdm(range(0, int(RATE / CHUNK * record_second))):
            data = stream.read(CHUNK)
            wf.writeframes(data)
        print(\"* done recording\")
        stream.stop_stream()
        stream.close()
        p.terminate()
        wf.close()


    record_audio(\"output.wav\", record_second=5)#录音时间可以自定义


    # 百度语音识别：根据output.wav文件生成识别的文字

    IS_PY3 = sys.version_info.major == 3

    if IS_PY3:
        from urllib.request import urlopen
        from urllib.request import Request
        from urllib.error import URLError
        from urllib.parse import urlencode

        timer = time.perf_counter
    else:
        from urllib2 import urlopen
        from urllib2 import Request
        from urllib2 import URLError
        from urllib import urlencode

        if sys.platform == \"win32\":
            timer = time.clock
        else:
            # On most other platforms the best timer is time.time()
            timer = time.time

    API_KEY = \'************************\'
    SECRET_KEY = \'*********************************\'

    # 需要识别的文件
    AUDIO_FILE = \'output.wav\'  # 只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式
    # 文件格式
    FORMAT = AUDIO_FILE[-3:]  # 文件后缀只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式

    CUID = \'123456PYTHON\'
    # 采样率
    RATE = 16000  # 固定值

    # 普通版

    DEV_PID = 1537  # 1537 表示识别普通话，使用输入法模型。根据文档填写PID，选择语言及识别模型
    ASR_URL = \'http://vop.baidu.com/server_api\'
    SCOPE = \'audio_voice_assistant_get\'  # 有此scope表示有asr能力，没有请在网页里勾选，非常旧的应用可能没有




    class DemoError(Exception):
        pass


    \"\"\"  TOKEN start \"\"\"

    TOKEN_URL = \'http://aip.baidubce.com/oauth/2.0/token\'


    def fetch_token():
        params = {\'grant_type\': \'client_credentials\',
                  \'client_id\': API_KEY,
                  \'client_secret\': SECRET_KEY}
        post_data = urlencode(params)
        if (IS_PY3):
            post_data = post_data.encode(\'utf-8\')
        req = Request(TOKEN_URL, post_data)
        try:
            f = urlopen(req)
            result_str = f.read()
        except URLError as err:
            # print(\'token http response http code : \' + str(err.code))
            result_str = err.read()
        if (IS_PY3):
            result_str = result_str.decode()

        # print(result_str)
        result = json.loads(result_str)
        # print(result)
        if (\'access_token\' in result.keys() and \'scope\' in result.keys()):
            # print(SCOPE)
            if SCOPE and (not SCOPE in result[\'scope\'].split(\' \')):  # SCOPE = False 忽略检查
                raise DemoError(\'scope is not correct\')
            # print(\'SUCCESS WITH TOKEN: %s  EXPIRES IN SECONDS: %s\' % (result[\'access_token\'], result[\'expires_in\']))
            return result[\'access_token\']
        else:
            raise DemoError(
                \'MAYBE API_KEY or SECRET_KEY not correct: access_token or scope not found in token response\')


    \"\"\"  TOKEN end \"\"\"

    if __name__ == \'__main__\':
        token = fetch_token()

        speech_data = []
        with open(AUDIO_FILE, \'rb\') as speech_file:
            speech_data = speech_file.read()

        length = len(speech_data)

        if length == 0:
            raise DemoError(\'file %s length read 0 bytes\' % AUDIO_FILE)

        speech = base64.b64encode(speech_data)
        if (IS_PY3):
            speech = str(speech, \'utf-8\')
        params = {\'dev_pid\': DEV_PID,
                  # \"lm_id\" : LM_ID,    #测试自训练平台开启此项
                  \'format\': FORMAT,
                  \'rate\': RATE,
                  \'token\': token,
                  \'cuid\': CUID,
                  \'channel\': 1,
                  \'speech\': speech,
                  \'len\': length
                  }
        post_data = json.dumps(params, sort_keys=False)
        # print post_data
        req = Request(ASR_URL, post_data.encode(\'utf-8\'))
        req.add_header(\'Content-Type\', \'application/json\')
        try:
            begin = timer()
            f = urlopen(req)
            result_str = f.read()
            # print(\"Request time cost %f\" % (timer() - begin))
        except URLError as err:
            # print(\'asr http response http code : \' + str(err.code))
            result_str = err.read()

        if (IS_PY3):
            result_str = str(result_str, \'utf-8\')

        # print(result_str)
        #print(str(json.loads(result_str)[\'result\'])[2:-2])

        with open(\"result.txt\", \"w\") as of:
            of.write(result_str)

        final = str(json.loads(result_str)[\'result\'])[2:-2].split(\"。\")
        final_order = \"\".join(final)

以上代码就可以实现语音转文字