gistfile1.txt

import os
import azure.cognitiveservices.speech as speechsdk
import requests
import json
from dotenv import load_dotenv

load_dotenv()

# Azure OpenAI service credentials
speech_endpoint = os.getenv("SPEECH_ENDPOINT")
speech_api_key = os.getenv("SPEECH_API_KEY")
speech_deployment_id = os.getenv("SPEECH_DEPLOYMENT_ID")

region = os.getenv("REGION")
subscription = os.getenv("SUBSCRIPTION_ID")

def recognize_from_microphone():
    # Creates an instance of a speech config with specified subscription key and service region.
    speech_config = speechsdk.SpeechConfig(
        subscription=subscription, region=region, speech_recognition_language="ja-JP"
    )

    # Creates a recognizer with the given settings
    speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config)

    print("Say something...")

    # Starts speech recognition, and returns after a single utterance is recognized. The end of a
    # single utterance is determined by listening for silence at the end or until a maximum of 15
    # seconds of audio is processed. The task returns the recognition text as result.
    result = speech_recognizer.recognize_once()

    # Check the result
    if result.reason == speechsdk.ResultReason.RecognizedSpeech:
        print("Recognized: {}".format(result.text))
        return result.text
    elif result.reason == speechsdk.ResultReason.NoMatch:
        print("No speech could be recognized: {}".format(result.no_match_details))
    elif result.reason == speechsdk.ResultReason.Canceled:
        cancellation_details = result.cancellation_details
        print("Speech Recognition canceled: {}".format(cancellation_details.reason))
        if cancellation_details.reason == speechsdk.CancellationReason.Error:
            print("Error details: {}".format(cancellation_details.error_details))


if __name__ == "__main__":
    recognized_text = recognize_from_microphone()
    ...