语音识别之实时语音互动

今天心血来潮，利用百度API语音识别，用python尝试做了一下语音识别的小互动，感觉还不错，记录一下过程，分享一下。已经完成了互动的过程，你说一句它说一句，无奈不能上传视频，效果不明显。
用到的东西呢
主要的是利用百度API
首先呢，需要拥有一个百度账号，登录百度智能云:https://ai.baidu.com/tech/speech，然后建立一个语音识别的应用。会得到ID\APIKEY\SecretKey

其中可以用两种方式调用：
可以下载使用SDK
不下载使用SDK：根据文档组装url获取token，处理本地音频以JSON格式POST到百度语音识别服务器，获得返回结果

#百度语音
APP_ID = 'xxxxxxx'
base_url = "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s"
APIKey = "xxxxxxxxx"
SecretKey = "xxxxxxxxxxxx"
client = AipSpeech(APP_ID, APIKey, SecretKey)
HOST = base_url % (APIKey, SecretKey)
#获取token
def getToken(host):
    res = requests.post(host)
    return res.json()['access_token']

录音及识别相关函数

#保存语音文件
def save_wave_file(filepath, data):
    wf = wave.open(filepath, 'wb')
    wf.setnchannels(channels)
    wf.setsampwidth(sampwidth)
    wf.setframerate(framerate)
    wf.writeframes(b''.join(data))
    wf.close()
#录音
def my_record():
    pa = PyAudio()
    stream = pa.open(format=paInt16, channels=channels,
                     rate=framerate, input=True, frames_per_buffer=num_samples)
    my_buf = []
    # count = 0
    t = time.time()
    print('正在录音...')
    while time.time() < t + 4:  # 秒
        string_audio_data = stream.read(num_samples)
        my_buf.append(string_audio_data)
    print('录音结束.')
    save_wave_file(FILEPATH, my_buf)
    stream.close()
def get_audio(file):
    with open(file, 'rb') as f:
        data = f.read()
    return data
def speech2text(speech_data, token, dev_pid=1537):
    FORMAT = 'wav'
    RATE = '16000'
    CHANNEL = 1
    CUID = '*******'
    SPEECH = base64.b64encode(speech_data).decode('utf-8')
    data = {
        'format': FORMAT,
        'rate': RATE,
        'channel': CHANNEL,
        'cuid': CUID,
        'len': len(speech_data),
        'speech': SPEECH,
        'token': token,
        'dev_pid':dev_pid
    }
    url = 'https://vop.baidu.com/server_api'
    headers = {'Content-Type': 'application/json'}
    # r=requests.post(url,data=json.dumps(data),headers=headers)
    print('正在识别...')
    r = requests.post(url, json=data, headers=headers)
    Result = r.json()
    if 'result' in Result:
        return Result['result'][0]
    else:
        return Result

主函数

if __name__ == '__main__':
    engine = pyttsx3.init()
    engine.say('进行语音识别吗?')
    engine.runAndWait()
    flag = input('进行语音识别吗?(y/n): \n')
    while True:
        my_record()
        TOKEN = getToken(HOST)
        speech = get_audio(FILEPATH)
        result = speech2text(speech, TOKEN, int(1537))
        print(result)
        if type(result) == str:
             openbrowser(result)
        if result=='退出。':
            break