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audio-tokenization

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papersTODAY 04:00 UTC

LoSATok: Low-Dimensional Semantic-Acoustic Tokenizer for Audio

Researchers present LoSATok, a tokenizer designed to serve both audio understanding and generation tasks within a single framework. The work argues that understanding benefits from high-level semantic features while generation needs both semantic and acoustic detail, and existing unified tokenizers encode both in high-dimensional spaces. LoSATok instead uses a low-dimensional representation to handle cross-domain audio.

audio/tokenizer/research/multimodal

papersTODAY 04:00 UTC

DuoTok Paper Proposes Dual-Track Music Tokenization for Vocal-Accompaniment Generation

Researchers present DuoTok, a tokenization method that separates vocal and accompaniment streams while keeping source information intact for multi-track music generation. The approach aims to balance acoustic detail, sequence modelability, and cross-track structure that existing codecs trade off against each other. A revised version of the preprint is now available.

music-generation/tokenization/arxiv/audio