A family of diffusion models for text-to-audio generation.

A webui for different audio related Neural Networks

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.

PyTorch Implementation of Make-An-Audio (ICML'23) with a Text-to-Audio Generative Model

Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

OpenMusic: SOTA Text-to-music (TTM) Generation

Mustango: Toward Controllable Text-to-Music Generation

High-quality Text-to-Audio Generation with Efficient Diffusion Transformer

Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.

Subtitle to audio, generate audio from any subtitle file using Coqui-ai TTS and synchronize the audio timing according to subtitle time.

Pytorch implementation of SoundCTM

PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

text-to-audio-latent-diffusion

Soundstorm is a cutting-edge AI-powered audio manipulation application designed to provide a rich yet simplified experience for sound designers, algorithmic composers, and experimental audio enthusiasts. From sample pack creation and algorithmic composition to AI text-to-audio and onscreen ChatGPT, Soundstorm is a sonic powerhouse.

Creative Text-to-Audio Generation via Synthesizer Programming @ ICML'24

A text to audio pipeline using Riffusion (a finetuned stablediffusion model) and using RAVE a audio to audio AutoEncoder.

Python program to convert text to speech.

Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying.

Text To Audio (Voice, Music) -Support Chat-GPT

Generative AI version of the GeoGuesser game.