[Interspeech 2025] DualCodec: A Low-Frame-Rate, Semantically-Enhanced Neural Audio Codec
[ICLR2026] FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates
Neural Audio Codecs implemented in C# - DAC, SNAC, Encodec, Dia
Implementation of the Descript Audio Codec in MLX
Author's code of "Speaker anonymization using neural audio codec language models" (ICASSP 2024).
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Unofficial PyTorch implementation of Higgs Audio V2 Tokenizer with HuBERT semantic features. Complete training pipeline for semantic-acoustic audio tokenization with 960x downsampling and 8-layer RVQ.
A minimal neural audio codec 🔊
A lightweight neural audio codec.
Transfer sonic characteristics from reference sounds to a source audio using Music2Latent embeddings
AI-powered ultra-low bitrate audio codec CLI built on SNAC — Compress audio at 0.98-2.6 kbps with near-original quality (392:1 ratio vs WAV)
Open research toward end-to-end spoken dialogue systems. Ships SoviaMate-Codec — a neural audio codec for LLM integration with ASR-constrained encoding, enhancement training, and zero-shot speaker adaptation.
Pytorch implementation of a Moshi-inspired audio LM based on multiple backbones, inlcuding Qwen and a transformer decoder.
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