Explore an advanced Python project that combines audio transcription and text-to-speech synthesis using state-of-the-art tools like Librosa, PyTorch, and Hugging Face's Transformers library. This script demonstrates how to load and resample audio files, transcribe speech to text using Facebook's Wav2Vec2 model, and convert text back to speech with customizable voice options using pyttsx3. Perfect for anyone interested in speech processing, AI-driven voice technology, or natural language processing projects. Ideal for enhancing your Python skills and diving into real-world applications of AI in audio analysis. import librosa from scipy.signal import resample import torch from transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer import pyttsx3 from scipy.signal import resample # Load audio file audio_file = "directory of audio file" audio, sr = librosa.load(audio_file, sr=None) def resample_audio(audio, orig_sr, target_sr): duration = audio.shape[0] / orig_sr ...
knowledge, Tutorials, information, programming, JAVA, CISCO,Python,Excel,source,codes,theory