Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#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

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.