尝试构建一个应用程序，将真实的语音转换为文本
下面的代码是针对使用React作为前端、Flask作为后端和Socket. IO的语音转文本应用程序的。

• 此示例用于使用Azure语音到文本转录音频的实现。

from flask import Flask, render_template
from flask_socketio import SocketIO
from azure.cognitiveservices.speech import SpeechConfig, ResultReason
from azure.cognitiveservices.speech.audio import AudioConfig, AudioStreamFormat, PullAudioInputStreamCallback
import io
import numpy as np

app = Flask(__name__)
socketio = SocketIO(app)

# Set up your Speech Config
speech_config = SpeechConfig(subscription="AzureSpeechKey", region="AzureSpeechregion")

class StreamBuffer(PullAudioInputStreamCallback):
    def __init__(self, stream):
        super().__init__()
        self.stream = stream
        self.format = AudioStreamFormat(stream.sample_rate, stream.bits_per_sample, stream.channel_count)

    def read(self, buffer_size: int):
        data = self.stream.read(buffer_size)
        return data, len(data)

@socketio.on('audio')
def handle_audio(audio_data):
    audio_stream = io.BytesIO(audio_data)
    stream_buffer = StreamBuffer(audio_stream)

    # Configure your speech_recognizer
    speech_recognizer = speech_config.create_speech_recognizer()
    audio_config = AudioConfig(stream=stream_buffer)
    speech_recognizer.set_audio_config(audio_config)

    # Process audio stream
    result = speech_recognizer.recognize_once()

    # Emit the result back to the frontend
    if result.reason == ResultReason.RecognizedSpeech:
        socketio.emit('transcription', result.text)
    elif result.reason == ResultReason.NoMatch:
        socketio.emit('transcription', "No speech could be recognized")
    elif result.reason == ResultReason.Canceled:
        cancellation_details = result.cancellation_details
        socketio.emit('transcription', "Speech Recognition canceled: {}".format(cancellation_details.reason))

if __name__ == '__main__':
    socketio.run(app, debug=True)

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