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autoawq

AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:

coqui-ai-tts

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

dongru1.github.io

espnet

End-to-End Speech Processing Toolkit

fastspeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

llama

Inference code for LLaMA models

llama-recipes

Examples and recipes for Llama 2 model

paddlespeech

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

vall-e

An unofficial PyTorch implementation of the audio LM VALL-E

vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

vits_chinese

Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!