[Python]말하는 AI 만들기 with GPT

말하는 AI를 만드는 것은 매우 복잡하고 전문적인 기술이 필요합니다. 그러나 최근에는 인공지능 기술의 발전으로 쉽게 사용할 수 있는 API나 툴킷도 많이 제공되고 있습니다. 이러한 도구를 사용하여 간단하게 말하는 AI를 만들 수 있습니다.

여러분이 만들고자 하는 말하는 AI의 목적과 기능에 따라 다양한 방법으로 구현할 수 있습니다. 예를 들어, 음성인식 API를 이용하여 음성 명령을 인식하고 처리하는 AI를 만들 수 있습니다. 또는 텍스트 처리 기술을 이용하여 챗봇을 만들어 대화 기능을 구현할 수도 있습니다.

다음은 Python과 Google Cloud Speech-to-Text API를 이용하여 음성을 텍스트로 변환하는 예제 코드입니다.

import io
import os

from google.cloud import speech_v1p1beta1 as speech

client = speech.SpeechClient()

filename = 'test.wav'

with io.open(filename, 'rb') as audio_file:
    content = audio_file.read()

audio = speech.RecognitionAudio(content=content)
config = speech.RecognitionConfig(
    encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
    sample_rate_hertz=16000,
    language_code='en-US',
    enable_word_time_offsets=True)

response = client.recognize(config=config, audio=audio)

for result in response.results:
    alternative = result.alternatives[0]
    print('Transcript: {}'.format(alternative.transcript))
    for word_info in alternative.words:
        word = word_info.word
        start_time = word_info.start_time
        end_time = word_info.end_time
        print('Word: {}, start_time: {}, end_time: {}'.format(
            word,
            start_time.seconds + start_time.nanos * 1e-9,
            end_time.seconds + end_time.nanos * 1e-9))

위 코드는 test.wav라는 오디오 파일에서 음성을 추출하고 Google Cloud Speech-to-Text API를 이용하여 텍스트로 변환합니다. 이 코드를 응용하여 자신이 원하는 기능을 구현한 말하는 AI를 만들 수 있습니다.