eess.AS · 2026-08-13 · No. 83

Audio and Speech Processing, 2026-08-13.

2 new papers in eess.AS. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Deep Learning Based Relative Transfer Matrix Estimation for Multiple Sources and Multiple Microphones

    Oshan A. B. Yalegama, Wageesha N. Manamperi

    eess.AS · cs.AI · eess.SP

    The Relative Transfer Matrix (ReTM), recently introduced as a generalization of the relative transfer function for multiple receivers and sources, shows promising performance when applied to speech enhancement in noisy environments. Estimating the ReTM of sound sources by exploiting the covariance matrices of multichannel recordings is highly beneficial for practical applications and, to date, remains the only proposed approach. This paper...

    arxiv.org/abs/2608.11627 · PDF

  2. 02

    Robust Multi-Tier Infant-Centered Audio Understanding with Whisper via Structured Speaker Conditioning

    Xulin Fan, Jialu Li, Mohammad Nur Hossain Khan, Kexin Hu, Bashima Islam, Mark Hasegawa-Johnson, Nancy L. McElwain

    eess.AS · cs.CL · cs.LG

    Recent advances in model design and self-supervised audio representations have improved speech and audio understanding, yet infant-centered naturalistic recordings remain challenging due to limited labeled data, low signal-to-noise ratio, and cross-family domain shifts. We present a family-conditioned, multi-tier audio tagger that combines a LoRA-finetuned Whisper encoder with a lightweight, target-speaker-aware Transformer for long-context...

    arxiv.org/abs/2608.11587 · PDF

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