我有一个脚本，该脚本使用 Python 中的 voice_recognition 中构建的 IBM Speech to Text API。它非常慢。回复时间大概是5秒左右就回复我了。我怀疑while True循环，导致CPU烧毁，但我不知道。
这是代码:
import speech_recognition as sr
import pyttsx
import time
import requests
engine = pyttsx.init()
time_check = time.strftime("%H")
time_check = int(time_check)
# current weather
url = "http://api.openweathermap.org/data/2.5/weather?lat=59.13&lon=10.22&APPID=8f605c186309e3d8f60bb7b2f31ba75c&units=metric" \
""
r = requests.get(url)
response_dict = r.json()
#daily forecast
url_daily = "http://api.openweathermap.org/data/2.5/forecast/daily?q=Sandefjord&mode=JSON&units=metric&cnt=7&appid=8f605c186309e3d8f60bb7b2f31ba75c" \
""
r_daily = requests.get(url_daily)
response_dict_daily = r_daily.json()
days = response_dict_daily["list"]
tomorrow = days[1]
#weather variables
main = response_dict["main"]
wind = response_dict["wind"]
description = response_dict["weather"]
url_1 = "https://newsapi.org/v1/articles?source=techcrunch&apiKey=d35bd4b8699b444fbcd3661e39c0bf49"
f = requests.get(url_1)
response = f.json()
articles = response["articles"]
article_1 = articles[0]
article_2 = articles[1]
article_3 = articles[2]
article_4 = articles[3]
title_1 = article_1["title"]
title_2 = article_2["title"]
title_3 = article_3["title"]
title_4 = article_4["title"]
while True:
r = sr.Recognizer()
with sr.Microphone() as source:
print("Say something!")
audio = r.listen(source)
try:
if "hello" in r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD):
if time_check < 9:
engine.say("Good morning sir, did you sleep well?")
engine.runAndWait()
elif time_check < 16:
engine.say("Good afternoon sir")
engine.runAndWait()
elif time_check > 16:
engine.say("Good evening sir")
engine.runAndWait()
if "update" in r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD):
print("Initializing news listing...")
engine.say(title_1)
engine.say(title_2)
engine.say(title_3)
engine.say(title_4)
engine.runAndWait()
if "time" in r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD):
time_say = time.strftime("%H:%M")
engine.say(time_say)
engine.runAndWait()
if "date" in r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD):
time_saydate = time.strftime("%B %d")
engine.say(time_saydate)
engine.runAndWait()
if "weather" in r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD):
temp = main["temp"]
windspeed = wind["speed"]
umbrella = description[1]
description = description["description"]
engine.say("Here is a quick overview of current weather. The temperature is at " + temp + "degrees. The wind speed is at " + windspeed + "meters per second. Overall it is " + description)
if umbrella == "Rain":
engine.say("I recommend you bring an umbrella sir, it is raining")
if "tomorrow" in r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD):
temp = tomorrow["temp"]
temp_1 = temp["day"]
temp_1 = int(temp_1)
desc = tomorrow["weather"]
desc_1 = desc[0]
desc_2 = desc_1["description"]
engine.say("The weather for tomorrow is " + str(temp_1) + " degrees. The description is " + desc_2)
engine.runAndWait()
if desc_2 == "rain":
engine.say("It is going to rain, I would recommend bringing an umbrella")
engine.runAndWait()
print("Watson thinks you said " + r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD))
except sr.UnknownValueError:
print("IBM Speech to Text could not understand audio")
engine.say("Couldnt recognize, please try again sir")
engine.runAndWait()
except sr.RequestError as e:
print("Could not request results from IBM Speech to Text service; {0}".format(e))
最佳答案
先录制音频然后将其发送到服务器是一个根本错误的做法。记录需要时间，发送数据并获取响应也需要时间。
如果您想要良好的交互，您需要使用 Websockets 将音频流式传输到服务器，而不是通过 HTTP 请求发送。录制结束时服务器会向您返回解码结果。
speech_recognition库在这里设计得不好，你应该直接使用IBM接口(interface)和python websocket模块。 Python 示例在这里:
https://github.com/watson-developer-cloud/speech-to-text-websockets-python
关于Python语音识别响应很慢，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/42054151/