audio-processing

Self-hosted AI-powered transcription platform with speaker diarization, search, and collaboration features. Built with Svelte, FastAPI, and Docker for easy deployment.

Pre-training, fine-tuning, and inference code with the MAEST models for music analysis applications.

Real time audio to audio translation over sockets. With virtual microphones, you can use this in any video conferencing software you'd like!

Repository for the paper "Combining audio control and style transfer using latent diffusion", accepted at ISMIR 2024

ComfyUI nodes for Step Audio EditX - State-of-the-art zero-shot voice cloning and audio editing with emotion, style, speed control, and more.

📣 Find sentiments, tags, entities, and actions in your voice recordings instantly

Speaker change detection using SincNet and an LSTM/Transformer

Test application for Kokoro TTS model

Intelligent file organization with computer vision, audio analysis, chunking, proactive AI-powered analysis, interactive classification, and adaptive learning.

stm32-speech-recognition-and-traduction is a project developed for the Advances in Operating Systems exam at the University of Milan (academic year 2020-2021). It implements a speech recognition and speech-to-text translation system using a pre-trained machine learning model running on the stm32f407vg microcontroller.

This comprehensive guide provides a universal process for preparing your own speech datasets and training a custom Text-to-Speech (TTS) model.

"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

MediBeng Whisper Tiny improves doctor-patient transcription by training the Whisper Tiny model to translate mixed Bengali-English speech into English, making it easier for analysis, record-keeping, and using AI in healthcare.

Shell scripts for automated transcription on macOS: Integrates whisper.cpp with QuickTime Player and BlackHole-2ch for streamlined audio recording, conversion, and transcription.

This repository contains a short introduction on the topic of audio and speech processing -- from basics to applications.

A Comprehensive Speech Processing Algorithms Library for research and production use

An optimized FastAPI server for OpenAI's Whisper whisper-large-v3-turbo model using MLX optimization

A local personal memory lab with programmable fractal search and evidence governance.

Shazam-inspired music recognition system — FAISS vector search + spectral fingerprinting, with CLAP/MuQ embeddings, FastAPI backend and React frontend.