import librosa import matplotlib.pyplot as plt audio = 'path/to/your/audio/file' #replace this with the path to your file x, sr = librosa.load(audio) X = librosa.stft(x) Xdb = librosa.amplitude_to_db(abs(X)) plt.figure(figsize = (10,...

import speech_recognition as sr def convert_audio_to_text(): # Initialize the recognizer r = sr.Recognizer() # Open the microphone and start recording with sr.Microphone() as source: print("Speak something...") ...

from pydub import AudioSegment from pydub.silence import split_on_silence import os import collections import contextlib import sys import wave import os import webrtcvad def read_wave(path): with contextlib.closing(wave.open(path, 'rb'))...