Python基础【03】———Python调用科大讯飞C语言接口实现语音识别

Python调用科大讯飞C语言接口实现语音识别，源代码：

from ctypes import *
import time
 
 # 调用动态链接库
dll = cdll.LoadLibrary("libmsc.so")
 #登录参数，apppid一定要和你的下载SDK对应
login_params = b"appid = 57738ed9, work_dir = ."
 
FRAME_LEN = 640  # Byte
 
MSP_SUCCESS = 0
# 返回结果状态
MSP_AUDIO_SAMPLE_FIRST = 1
MSP_AUDIO_SAMPLE_CONTINUE = 2
MSP_AUDIO_SAMPLE_LAST = 4
MSP_REC_STATUS_COMPLETE = 5
 # 你的语音文件路径
filename = "testAudio.wav"
 
class Msp:
    def __init__(self):
        pass
 
    def login(self):
        ret = dll.MSPLogin(None, None, login_params)
        # print('MSPLogin =>', ret)
 
    def logout(self):
        ret = dll.MSPLogout()
        # print('MSPLogout =>', ret)
 
    def isr(self, audiofile, session_begin_params):
        ret = c_int()
        sessionID = c_voidp()
        dll.QISRSessionBegin.restype = c_char_p
        sessionID = dll.QISRSessionBegin(None, session_begin_params, byref(ret))
        print('QISRSessionBegin => sessionID:', sessionID, 'ret:', ret.value)
 
        # 每秒【1000ms】  16000 次 * 16 bit 【20B】 ，每毫秒：1.6 * 16bit 【1.6*2B】 = 32Byte
        # 1帧音频20ms【640B】 每次写入 10帧=200ms 【6400B】
 
        #piceLne = FRAME_LEN * 20
        piceLne = 1638*2
        epStatus = c_int(0)
        recogStatus = c_int(0)
 
        wavFile = open(audiofile, 'rb')
        wavData = wavFile.read(piceLne)
 
        ret = dll.QISRAudioWrite(sessionID, wavData, len(wavData), MSP_AUDIO_SAMPLE_FIRST, byref(epStatus), byref(recogStatus))
        print('len(wavData):', len(wavData), 'QISRAudioWrite ret:', ret, 'epStatus:', epStatus.value, 'recogStatus:', recogStatus.value)
        time.sleep(0.1)
        while wavData:
            wavData = wavFile.read(piceLne)
 
            if len(wavData) == 0:
                break
 
            ret = dll.QISRAudioWrite(sessionID, wavData, len(wavData), MSP_AUDIO_SAMPLE_CONTINUE, byref(epStatus), byref(recogStatus))
            # print('len(wavData):', len(wavData), 'QISRAudioWrite ret:', ret, 'epStatus:', epStatus.value, 'recogStatus:', recogStatus.value)
            time.sleep(0.1)
        wavFile.close()
        ret = dll.QISRAudioWrite(sessionID, None, 0, MSP_AUDIO_SAMPLE_LAST, byref(epStatus), byref(recogStatus))
        # print('len(wavData):', len(wavData), 'QISRAudioWrite ret:', ret, 'epStatus:', epStatus.value, 'recogStatus:', recogStatus.value)
 
        print("所有待识别音频已全部发送完毕，等待获取识别结果")
 
        # -- 获取音频
        laststr = ''
        counter = 0
        while recogStatus.value != MSP_REC_STATUS_COMPLETE:
            ret = c_int()
            dll.QISRGetResult.restype = c_char_p
            retstr = dll.QISRGetResult(sessionID, byref(recogStatus), 0, byref(ret))
            if retstr is not None:
                laststr += retstr.decode()
                # print(laststr)
            # print('ret:', ret.value, 'recogStatus:', recogStatus.value)
            counter += 1
            time.sleep(0.2)
            counter += 1
            if counter == 500:
                laststr += '讯飞语音识别失败'
                break
 
        print(laststr)
        ret = dll.QISRSessionEnd(sessionID, '\0')
        # print('end ret: ', ret)
        return laststr
 
 
def XF_text(filepath, audiorate):
    msp = Msp()
    print("登录科大讯飞")
    msp.login()
    print("科大讯飞登录成功")
    session_begin_params = b"sub = iat, ptt = 0, result_encoding = utf8, result_type = plain, domain = iat"
    if 16000 == audiorate:
        session_begin_params = b"sub = iat, domain = iat, language = zh_cn, accent = mandarin, sample_rate = 16000, result_type = plain, result_encoding = utf8"
    text = msp.isr(filepath, session_begin_params)
    msp.logout()
    return text
 

if __name__ == '__main__':
    # 8000为音频码率
    res = XF_text(filename, 16000)
    #print(res)