Author

Jing Peng

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#artificial intelligence Preprint Sep 2026

Discrete vs. Continuous: A Comprehensive Study of Unified Audio Understanding in LALMs

Large Audio Language Models (LALMs) utilize either continuous features or discrete tokens, yet the optimal representation paradigm for general audio understanding remains debated. Existing benchmarks often focus on narrow domains or evaluate encoders outside LALM contexts. To address these gaps, we systematically evalu...

Jing Peng, Zi-Chao Nie, Zhi-Sheng Zhang et al. · 0 citations

#artificial intelligence May 2026

LoSATok: Low-dimensional Semantic-Acoustic Tokenizer for Cross-Domain Audio Understanding and Generation

A Semantic Bottleneck that compresses 1280-dimensional semantic encoder features into 128 dimensions, regularized by the proposed time-relation loss for temporal feature consistency is introduced and a dual-level semantic supervision method is designed that leverages both high- and low-dimensional semantic signals, ena...

Zhi-Sheng Zhang, Xiang Li, Yixuan Zhou et al. · arXiv.org · 2 citations