# -*- coding: utf-8 -*-#
# -------------------------------
# Name:SpeechRobot
# Date:2019年10月21日 09:43:46
# 用python3实现自己的语音对话机器人
# -------------------------------
from aip import AipSpeech
import requests
import json
import speech_recognition as sr
import win32com.client
# 初始化语音
speaker = win32com.client.Dispatch("SAPI.SpVoice")
# 1、语音生成音频文件,录音并以当前时间戳保存到voices文件中
# Use SpeechRecognition to record 使用语音识别录制
def my_record(rate=16000):
r = sr.Recognizer()
with sr.Microphone(sample_rate=rate) as source:
print("你好，我是机器人，有什么想问的吗？")
speaker.Speak("你好，我是机器人，有什么想问的吗？")
audio = r.listen(source)
with open("voices/myvoices.wav", "wb") as f:
f.write(audio.get_wav_data())
# 2、音频文件转文字：采用百度的语音识别python-SDK
# 导入我们需要的模块名，然后将音频文件发送给出去，返回文字。
# 百度语音识别API配置参数
APP_ID = \'17527531\'
API_KEY = \'sGeHlRhneatUOLZAGpu0G3ef\'
SECRET_KEY = \'jM4iRjwpKkgVqclQlTxnc26daZTdXist\'
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
path = \'voices/myvoices.wav\'
# 将语音转文本STT
def listen():
# 读取录音文件
with open(path, \'rb\') as fp:
voices = fp.read()
try:
# 参数dev_pid：1536普通话(支持简单的英文识别)、1537普通话(纯中文识别)、1737英语、1637粤语、1837四川话、1936普通话远场
result = client.asr(voices, \'wav\', 16000, {\'dev_pid\': 1537, })
# result = CLIENT.asr(get_file_content(path), \'wav\', 16000, {\'lan\': \'zh\', })
# print(result)
# print(result[\'result\'][0])
# print(result)
result_text = result["result"][0]
print("you said: " + result_text)
speaker.Speak(result_text)
return result_text
except KeyError:
print("KeyError")
speaker.Speak("我没有听清楚，请再说一遍...")
# 3、与机器人对话：调用的是图灵机器人
# 图灵机器人的API_KEY、API_URL
turing_api_key = "8b559122eba24ee39a20ebb9acb875dc"
api_url = "http://openapi.tuling123.com/openapi/api/v2" # 图灵机器人api网址
headers = {\'Content-Type\': \'application/json;charset=UTF-8\'}
# 图灵机器人回复
def Turing(text_words=""):
req = {
"reqType": 0,
"perception": {
"inputText": {
"text": text_words
},
"selfInfo": {
"location": {
"city": "北京",
"province": "北京",
"street": "北太平庄"
}
}
},
"userInfo": {
"apiKey": turing_api_key, # 你的图灵机器人apiKey
"userId": "test" # 用户唯一标识(随便填, 非密钥)
}
}
req["perception"]["inputText"]["text"] = text_words
response = requests.request("post", api_url, json=req, headers=headers)
response_dict = json.loads(response.text)
result = response_dict["results"][0]["values"]["text"]
print("AI Robot said: " + result)
return result
# 语音合成，输出机器人的回答
while True:
my_record()
request = listen()
response = Turing(request)
speaker.Speak(response)