实时语音识别怎么创建

import webrtcvad
import pyaudio
import wave
import speech_recognition as sr

# 初始化语音识别器
recognizer = sr.Recognizer()

# 设置音频参数
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
CHUNK = 1024
RECORD_SECONDS = 5
WAVE_OUTPUT_FILENAME = "output.wav"

# 初始化PyAudio
audio = pyaudio.PyAudio()

# 打开麦克风流
stream = audio.open(format=FORMAT, channels=CHANNELS,
                    rate=RATE, input=True,
                    frames_per_buffer=CHUNK)

print("开始录音...")

frames = []

for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
    data = stream.read(CHUNK)
    frames.append(data)

print("录音结束")

# 停止和关闭流
stream.stop_stream()
stream.close()
audio.terminate()

# 保存录音文件
wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(audio.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(b''.join(frames))
wf.close()

# 使用语音识别器进行识别
with sr.AudioFile(WAVE_OUTPUT_FILENAME) as source:
    audio_data = recognizer.record(source)
    try:
        text = recognizer.recognize_google(audio_data, language='zh-CN')
        print("识别结果: " + text)
    except sr.UnknownValueError:
        print("无法识别语音")
    except sr.RequestError as e:
        print("无法请求结果; {0}".format(e))