State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch
AudioCodec-Hub is a Python library for encoding and decoding audio data, supporting various neural audio codec models
Neural audio codec with frequency band-aware RVQ (Interspeech 2026, Oral)
Code and samples for the paper "Acoustic token admixture for joint speaker and content anonymization"
On the Limits of Discrete Representations for Neural Control. A systematic empirical study of tokenization, quantization, and inductive bias in BCI (aka documented failures)
SERA-VQ: Discrete codes for extreme embedding compression — outperforms PCA+int8 at low memory budgets on BEIR/SciFact
Neural audio codec and tokenizer for audio language models — SEANet encoder with residual vector quantization in PyTorch
Run Next-Concept Modeling (NCM) on the Apple Silicon GPU with MLX: HazyResearch's released checkpoints with verified parity to PyTorch, plus from-scratch training and benchmarks.
Transdisciplinary research paper & interactive web explorer by SAMUELSON G unifying acoustic biophysics, Greenwood cochlear tonotopy, psychoacoustics, musical neuroscience, Neurologic Music Therapy, and neural audio codecs (RVQ/FSQ).
Mini SoundStream-style neural audio codec trained on LibriSpeech: 4-codebook RVQ, 3 bitrates, ONNX export
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