# -*- coding: utf-8 -*-#
# -------------------------------
# Name:SpeechRobot
# Date:2019年10月21日 09:43:46
# 用python3實作自己的語音對話機器人
# -------------------------------
from aip import AipSpeech
import requests
import json
import speech_recognition as sr
import win32com.client
# 初始化語音
speaker = win32com.client.Dispatch("SAPI.SpVoice")
# 1、語音生成音頻檔案,錄音并以目前時間戳儲存到voices檔案中
# Use SpeechRecognition to record 使用語音識别錄制
def my_record(rate=16000):
r = sr.Recognizer()
with sr.Microphone(sample_rate=rate) as source:
print("你好，我是機器人，有什麼想問的嗎？")
speaker.Speak("你好，我是機器人，有什麼想問的嗎？")
audio = r.listen(source)
with open("voices/myvoices.wav", "wb") as f:
f.write(audio.get_wav_data())
# 2、音頻檔案轉文字：采用百度的語音識别python-SDK
# 導入我們需要的子產品名，然後将音頻檔案發送給出去，傳回文字。
# 百度語音識别API配置參數
APP_ID = '17527531'
API_KEY = 'sGeHlRhneatUOLZAGpu0G3ef'
SECRET_KEY = 'jM4iRjwpKkgVqclQlTxnc26daZTdXist'
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
path = 'voices/myvoices.wav'
# 将語音轉文本STT
def listen():
# 讀取錄音檔案
with open(path, 'rb') as fp:
voices = fp.read()
try:
# 參數dev_pid：1536國語(支援簡單的英文識别)、1537國語(純中文識别)、1737英語、1637粵語、1837四川話、1936國語遠場
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("我沒有聽清楚，請再說一遍...")
# 3、與機器人對話：調用的是圖靈機器人
# 圖靈機器人的API_KEY、API_URL
turing_api_key = "8b559122eba24ee39a20ebb9acb875dc"
api_url = "http://openapi.tuling123.com/openapi/api/v2" # 圖靈機器人api網址
headers = {'Content-Type': 'application/json;charset=UTF-8'}
# 圖靈機器人回複
def Turing(text_words=""):
req = {
"reqType": 0,
"perception": {
"inputText": {
"text": text_words
},
"selfInfo": {
"location": {
"city": "北京",
"province": "北京",
"street": "北太平莊"
}
}
},
"userInfo": {
"apiKey": turing_api_key, # 你的圖靈機器人apiKey
"userId": "test" # 使用者唯一辨別(随便填, 非密鑰)
}
}
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
# 語音合成，輸出機器人的回答
while True:
my_record()
request = listen()
response = Turing(request)
speaker.Speak(response)