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20242026
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cs.SD2026

TAC: Timestamped Audio Captioning

Sonal Kumar, Prem Seetharaman, Ke Chen +8

Large Audio Language Models struggle to disentangle overlapping events in complex acoustic scenes, yielding temporally inconsistent captions and frequent hallucinations. We introdu…

cs.SD2026

MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models

Yitian Gong, Kuangwei Chen, Zhaoye Fei +9

Discrete audio tokenizers are fundamental to empowering large language models with native audio processing and generation capabilities. Despite recent progress, existing approaches…

cs.SD2025

Quantize More, Lose Less: Autoregressive Generation from Residually Quantized Speech Representations

Yichen Han, Xiaoyang Hao, Keming Chen +25

Text-to-speech (TTS) synthesis has seen renewed progress under the discrete modeling paradigm. Existing autoregressive approaches often rely on single-codebook representations, whi…

cs.SD2025

FLAM: Frame-Wise Language-Audio Modeling

Yusong Wu, Christos Tsirigotis, Ke Chen +5

Recent multi-modal audio-language models (ALMs) excel at text-audio retrieval but struggle with frame-wise audio understanding. Prior works use temporal-aware labels or unsupervise…

cs.SD2024

Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model

Tornike Karchkhadze, Mohammad Rasool Izadi, Ke Chen +2

Diffusion models have shown promising results in cross-modal generation tasks involving audio and music, such as text-to-sound and text-to-music generation. These text-controlled m…