Realization of human-machine voice interaction based on nao robot

Realization of human-machine voice interaction based on nao robot

In fact, the human-computer voice interaction in this article is roughly the same as the previous article. It's just that this function has been transplanted to nao. You can increase the knowledge base and other functions, and the recognition rate is also pretty good.
1、调用图灵机器人实现对话

class TuringChatMode(object): //图灵机器人
    #初始化API请求地址
    def __init__(self):
        # API接口地址
        self.turing_url = 'http://www.tuling123.com/openapi/api?'

     #定义人机交互方法
    def botInteraction (self,text):
      
        url_data = dict(
            key = 'e7ea86036040426e8a9d123176bfe12f',
            info = text,
            userid = 'yjc',
        )
      
        self.request = Request(self.turing_url + urlencode(url_data))#设置并实例化Request

        try:
            w_data = urlopen(self.request)#发送请求
        except URLError:
            raise Exception("No internet connection available to transfer txt data")
            #断言了请求URL异常
        except:
            raise KeyError("Server wouldn't respond (invalid key or quota has been maxed out)")
            # 其他情况断言提示服务相应次数已经达到上限

        response_text = w_data.read().decode('utf-8')
        #print(response_text)

        json_result = json.loads(response_text)#将json格式进行解析

        return json_result['text']

2、录音

def main(robot_IP, robot_PORT=9559): //录音
  global tts, audio, record, aup 
  tts = ALProxy("ALTextToSpeech", robot_IP, robot_PORT)
  audio = ALProxy("ALAudioDevice", robot_IP, robot_PORT)
  record = ALProxy("ALAudioRecorder", robot_IP, robot_PORT)
  aup = ALProxy("ALAudioPlayer", robot_IP, robot_PORT)
  print 'start recording...'
  record.startMicrophonesRecording(record_path, 'wav', 16000, (0,0,1,0))
  time.sleep(5)
  record.stopMicrophonesRecording()
  print 'record over'
  fileID = aup.playFile(record_path, 0.7, 0)  

3、调用百度API实现语音转文字

def listen(): //百度
  with open(record_path, 'rb') as fp:
    voices = fp.read()
  try:
   
    result = client.asr(voices, 'wav', 16000, {
    
    'dev_pid': 1537, })
    result_text = result["result"][0]
    result_text = result_text.replace('，','')
    result_text = result_text.replace('。','')
    print("you said: " + result_text)
    return result_text
  except KeyError:
    print("faild")

4、完整代码

import argparse
from naoqi import ALProxy
import time
import wave
tts = audio = record = aup = None 
record_path = '/home/nao/record.wav'
class TuringChatMode(object): //图灵机器人
    #初始化API请求地址
    def __init__(self):
        # API接口地址
        self.turing_url = 'http://www.tuling123.com/openapi/api?'

     #定义人机交互方法
    def botInteraction (self,text):
      
        url_data = dict(
            key = 'e7ea86036040426e8a9d123176bfe12f',
            info = text,
            userid = 'yjc',
        )
      
        self.request = Request(self.turing_url + urlencode(url_data))#设置并实例化Request

        try:
            w_data = urlopen(self.request)#发送请求
        except URLError:
            raise Exception("No internet connection available to transfer txt data")
            #断言了请求URL异常
        except:
            raise KeyError("Server wouldn't respond (invalid key or quota has been maxed out)")
            # 其他情况断言提示服务相应次数已经达到上限

        response_text = w_data.read().decode('utf-8')
        #print(response_text)

        json_result = json.loads(response_text)#将json格式进行解析

        return json_result['text']

def main(robot_IP, robot_PORT=9559): //录音
    global tts, audio, record, aup 
    tts = ALProxy("ALTextToSpeech", robot_IP, robot_PORT)
    audio = ALProxy("ALAudioDevice", robot_IP, robot_PORT)
    record = ALProxy("ALAudioRecorder", robot_IP, robot_PORT)
    aup = ALProxy("ALAudioPlayer", robot_IP, robot_PORT)
    print 'start recording...'
    record.startMicrophonesRecording(record_path, 'wav', 16000, (0,0,1,0))
    time.sleep(5)
    record.stopMicrophonesRecording()
    print 'record over'
    fileID = aup.playFile(record_path, 0.7, 0)  
    

    
def listen(): //百度
  with open(record_path, 'rb') as fp:
    voices = fp.read()
  try:
   
    result = client.asr(voices, 'wav', 16000, {
    
    'dev_pid': 1537, })
    result_text = result["result"][0]
    result_text = result_text.replace('，','')
    result_text = result_text.replace('。','')
    print("you said: " + result_text)
    return result_text
  except KeyError:
    print("faild")
    
if __name__ == "__main__":  //主函数
    parser = argparse.ArgumentParser()
    parser.add_argument("--ip", type=str, default="192.168.1.89", help="Robot ip address")
    parser.add_argument("--port", type=int, default=9559, help="Robot port number")
    args = parser.parse_args()
    turing = TuringChatMode()
    tts = ALProxy("ALTextToSpeech", robot_IP, robot_PORT)
    while True:
        main(args.ip, args.port)
        msg = listen()
        botMsg = turing.botInteraction(msg)
        bot = str (botMsg)
        tts.say(bot)