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Author

Andrew C. Singer

4 papers indexed here

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Preprint Sep 2026

Underwater Acoustic Channel Library

The development of communication systems critically depends on realistic channel models, yet there are no widely accepted standards in the underwater acoustic communications community. The situation is in stark contrast to terrestrial radio communications, where channel models have been standardized and are widely avai...

Zheng-Nan Li, M. Chitre, D. Cuji et al. · 1 citation
Aug 2026

Causal adaptive time-frequency analysis via Bayesian universal switching and time-domain aliasing

The short-time Fourier transform (STFT) is fundamentally limited by the Gabor uncertainty principle, requiring a global compromise between time and frequency resolution. Fixed-window analyses often obscure transient events with long windows or blur spectral features with short windows. This work presents the “Universal...

Manan Mittal, Kanad Sarkar, R. Corey et al. · 0 citations
#machine learning Preprint Sep 2026

P2Flow: Phoneme-aware Progressive Flow Matching for Extreme Speech Super-Resolution

P2Flow is introduced, a phoneme-aware progressive flow matching (FM) framework designed for extreme SSR with three main strategies, which leverages phonetic information to reconstruct missing spectral components and employs a progressive architectural design that hierarchically restores distinct frequency regions.

Ning Yang, Yi-Ze Li, Pu Zhao et al. · 0 citations
#machine learning Preprint Aug 2026

MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models

This work introduces MRMAD, a Multi-Round Multi-Audio Degradation benchmark for evaluating audio degradation perception and understanding in LALMs, and finds that current models often recognize coarse content while failing to diagnose, compare, or reason about degradations reliably.

Yi-Ze Li, Ning-Yuan Yang, Sile Yin et al. · 2 citations

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