On-device TTS model by Neuphonic

VLLM Port of the Chatterbox TTS model

Finetune Sesame AI's conversational speech model on new languages and voices. Blog post: https://blog.speechmatics.com/sesame-finetune

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

Step-Audio 2 is an end-to-end multi-modal large language model designed for industry-strength audio understanding and speech conversation.

Simple text to phones converter for multiple languages

A TTS model capable of generating ultra-realistic dialogue in one pass.

Fast and local neural text-to-speech engine

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

SIP SIMPLE SDK written in Python

Streaming and Fine-tuning for Chatterbox TTS

Local voice recording for creating Piper datasets

Onnx compatible styletts2 code

This repository combines `WavLM`, a powerful speech representation model from Microsoft, with `MSDD` (Multi-Scale Diarization Decoder), a state-of-the-art approach for speaker diarization from Nvi…

Open source inference code for Rev's model

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Instruct-tune LLaMA on consumer hardware

LLM inference in C/C++

Create your own AI by fine-tuning open source models

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

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

whisper.cpp bindings for python

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

💡 Build AI-powered semantic search applications

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework