Answers for "python voice to text"

python text to speech

The best library because you dont have to save the
text file or open the file to start the speech

pip install pyttsx3

import pyttsx3
engine = pyttsx3.init()
engine.say("Hello world")
engine.runAndWait()

python text to speech

#run in Cmd or in terminal 
#pip install pyttsx3
import pyttsx3
pyttsx3.speak("hi user")

python speech to text

import speech_recognition as sr


        def main():

            r = sr.Recognizer()

            with sr.Microphone() as source:
                r.adjust_for_ambient_noise(source)

                audio = r.listen(source)

                try:

                    print(r.recognize_google(audio))

                except Exception as e:
                    print("Error :  " + str(e))


                with open("recorded.wav", "wb") as f:
                    f.write(audio.get_wav_data())


        if __name__ == "__main__":
            main()

python code voice to text

# importing libraries 
import speech_recognition as sr 
import os 
from pydub import AudioSegment
from pydub.silence import split_on_silence

# create a speech recognition object
r = sr.Recognizer()

# a function that splits the audio file into chunks
# and applies speech recognition
def get_large_audio_transcription(path):
    """
    Splitting the large audio file into chunks
    and apply speech recognition on each of these chunks
    """
    # open the audio file using pydub
    sound = AudioSegment.from_wav(path)  
    # split audio sound where silence is 700 miliseconds or more and get chunks
    chunks = split_on_silence(sound,
        # experiment with this value for your target audio file
        min_silence_len = 500,
        # adjust this per requirement
        silence_thresh = sound.dBFS-14,
        # keep the silence for 1 second, adjustable as well
        keep_silence=500,
    )
    folder_name = "audio-chunks"
    # create a directory to store the audio chunks
    if not os.path.isdir(folder_name):
        os.mkdir(folder_name)
    whole_text = ""
    # process each chunk 
    for i, audio_chunk in enumerate(chunks, start=1):
        # export audio chunk and save it in
        # the `folder_name` directory.
        chunk_filename = os.path.join(folder_name, f"chunk{i}.wav")
        audio_chunk.export(chunk_filename, format="wav")
        # recognize the chunk
        with sr.AudioFile(chunk_filename) as source:
            audio_listened = r.record(source)
            # try converting it to text
            try:
                text = r.recognize_google(audio_listened)
            except sr.UnknownValueError as e:
                print("Error:", str(e))
            else:
                text = f"{text.capitalize()}. "
                print(chunk_filename, ":", text)
                whole_text += text
    # return the text for all chunks detected
    return whole_text

python speech to text

pip install pyttsx3