Popular GitHub Repositories for Speech Services

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Clone a voice in 5 seconds to generate arbitrary speech in real-time

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

Port of OpenAI's Whisper model in C/C++

?? - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

A generative speech model for daily dialogue.

?AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

Instant voice cloning by MIT and MyShell. Audio foundation model.

SoftVC VITS Singing Voice Conversion

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

? Leon is your open-source personal assistant.

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

kaldi-asr/kaldi is the official location of the Kaldi project.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.