eess.AS · 2026-08-27 · No. 97

Audio and Speech Processing, 2026-08-27.

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

    VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction

    Zhifei Xie, Jiaqi Lang, Ze An, Yifan Zhao, Dongchao Yang, Kai Li, Ziyang Ma, Mingbao Lin, Chunyan Miao, Shuicheng Yan

    eess.AS · cs.AI · cs.IR · cs.MM · cs.SD

    Conversational systems, such as duplex speech language models (SLMs), still lack a streaming, accurate, and empathetic memory system as their soul. We introduce VoiceMem, a simple memory architecture with a parallel informational left brain, an emotional right brain, and streaming memory I/O mechanisms. We further build a complete pipeline for memory-aware SLM training, long-horizon evaluation, and decoupled deployment with interchangeable...

    arxiv.org/abs/2608.26005 · PDF

  2. 02

    Why ML-based cough models do not generalize: a systematic cross-dataset evaluation for tuberculosis screening

    Wensi Zhang, Tomas Teijeiro, Jérôme Thevenot, David Atienza

    eess.AS · cs.AI · cs.LG · cs.SD · eess.SP

    Cough acoustics are promising for non-invasive tuberculosis (TB) screening, yet whether machine learning (ML) models capture disease-related acoustics or artifacts of data collection remains unresolved. We evaluated the cross-dataset generalizability of classical ML and deep learning (DL) cough-based TB classifiers across three independent datasets. Despite moderate within-dataset performance (ROC-AUC up to $0.755 \pm 0.056$), both pipelines...

    arxiv.org/abs/2608.25846 · PDF

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