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

EraX Text to Speech base on F5-TTS Base V1

PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-To-Speech Using Natural Language Descriptions

GLM-4-Voice | 端到端中英语音对话模型

Concrete: TFHE Compiler that converts python programs into FHE equivalent

Distributed Training Over-The-Internet

Automatically Update Text-to-speech (TTS) Papers Daily using Github Actions (Update Every 12th hours)

StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style Diffusion

The official implementation of GTCRN, an ultra-lightweight SE model.

Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement

ACM MM 2024 FlashSpeech: Efficient Zero-Shot Speech Synthesis

Evaluation Protocol for Large-Scale Zero-Shot TTS Literature

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"

Official repository of Wavehax vocoder

Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch

Official repository of NeXt-TDNN for speaker verification

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

Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in Pytorch

The official Implementation of PeriodWave and PeriodWave-Turbo

Official inference repo for FLUX.1 models

Code for Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction (ACL24))

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Simple text to phones converter for multiple languages

Unofficial pytorch reproduction for the paper "Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction" (arXiv:2401.01498)

Spectral Analysis in Python

vits2 backbone with multilingual-bert(한국어 지원)