chl17

bark

🔊 Text-Prompted Generative Audio Model

tortoise-tts

A multi-voice TTS system trained with an emphasis on quality

NeMo

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)

AudioGPT

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

iRingo

解锁完整的 Apple功能和集成服务

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

StyleTTS2

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

DiffSinger

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

bark-with-voice-clone

🔊 Text-prompted Generative Audio Model - With the ability to clone voices

vall-e

An unofficial PyTorch implementation of the audio LM VALL-E

audiolm-pytorch

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

NeuralSpeech

naturalspeech2-pytorch

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

PD-Runner-Revived

PD-Runner (Parallels Desktop) 补档

ML_course

EPFL Machine Learning Course, Fall 2023

NATSpeech

A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

2024-Tech-OA

List of Tech Company OAs. Save your time from finding them all over the internet.

Speech-Backbones

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

DiffGAN-TTS

PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

CharsiuG2P

Multilingual G2P in 100 languages

reserves-lib-tsinghua-downloader

Download pages from http://reserves.lib.tsinghua.edu.cn/

P.808

This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).

pflowtts_pytorch

Unofficial implementation of NVIDIA P-Flow TTS paper

nngeometry

{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

turkle

Django-based clone of Amazon's Mechanical Turk service running in your local environment.

EKFAC-pytorch

Repository containing Pytorch code for EKFAC and K-FAC perconditioners.

UnitSpeech

An official implementation of "UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data"

beaqlejs

*BeaqleJS* provides a framework to create browser based listening tests and is purely based on open web standards like HTML5 and Javascript.

listening-test

An open source platform for browser based speech and audio subjective quality tests.