Speech to text (Speech Recognition API and PyAudio library)

음성을 문자로 변환하는 api를 소개한다.

 

보통 음성은 대표적인 커뮤니케이션 수단이지만, 분석을 할 때는 제약이 있다.

이에 음성을 텍스트로 변환하는 방법에 대해 알아보고자 한다.

(Hidden Markov Model (HMM), deep neural network models are used to convert the audio into text.)

Hidden Markov Model 을 이용하여 보통 음성을 텍스트로 변환한다.

 

대표적인 speech to text api로 Speech Recognition api와 pyaudio를 소개하려 한다.

 

Speech Recognition

Speech Recognition api 는 여러개의 api가 있는데 konlpy처럼... 여기서는 Google에서 제공해주는 api를 사용한다.

지원 언어가 매우 다양하다 (한국어도 물론 포함).

설치

!pip install SpeechRecognition

변환 코드

#import library
import speech_recognition as sr

# Initialize recognizer class (for recognizing the speech)
r = sr.Recognizer()

# Reading Audio file as source
# listening the audio file and store in audio_text variable

with sr.AudioFile('I-dont-know.wav') as source:
    
    audio_text = r.listen(source)
    
# recoginize_() method will throw a request error if the API is unreachable, hence using exception handling
    try:
        
        # using google speech recognition
        text = r.recognize_google(audio_text)
        print('Converting audio transcripts into text ...')
        print(text)
     
    except:
         print('Sorry.. run again...')

 

#import library

import speech_recognition as sr

# Initialize recognizer class (for recognizing the speech)

r = sr.Recognizer()

# Reading Microphone as source
# listening the speech and store in audio_text variable

with sr.Microphone() as source:
    print("Talk")
    audio_text = r.listen(source)
    print("Time over, thanks")
# recoginize_() method will throw a request error if the API is unreachable, hence using exception handling
    
    try:
        # using google speech recognition
        print("Text: "+r.recognize_google(audio_text))
    except:
         print("Sorry, I did not get that")

https://cloud.google.com/speech-to-text/docs/languages

언어 지원  |  Cloud Speech-to-Text 문서  |  Google Cloud