cs.SD · 2026-07-27 · No. 66

Sound, 2026-07-27.

3 new papers in cs.SD. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

3 entries
  1. 01

    Reflector: Arrangement-Aware Harmonic Retrieval for Sample-Based Composition

    Austin Rockman

    cs.SD · cs.IR · cs.LG

    Sample retrieval tools can help composers find harmonically compatible material, but querying from a fixed reference sample becomes less informative as arrangements evolve and the harmonic context shifts with each musical decision. We present Reflector, an interactive audio workstation that tracks harmonic combinations as they accumulate on the composer's timeline and adapts retrieval as the arrangement develops. The system is organized...

    arxiv.org/abs/2607.22413 · PDF

  2. 02

    MemNMF: Memory-Augmented NMF on LPC Spectra for Anomalous Sound Detection

    Phurich Saengthong, Takahiro Shinozaki

    cs.SD · cs.LG

    Autoencoder-based anomalous sound detection is attractive for machine condition monitoring because it can be trained using only normal recordings and yields an interpretable anomaly score from reconstruction error. Most prior work uses spectrogram autoencoders, but reconstructing detailed time--frequency patterns is sensitive to noise and transients, and models can reconstruct some anomalous inputs well, weakening normal--anomaly separation....

    arxiv.org/abs/2607.22086 · PDF

  3. 03

    Probing Speaker Identity Sensitivity in Audio Deepfake Detectors

    Daniyal Kabir Dar, Arun Ross

    cs.SD · cs.AI · cs.CR · cs.LG

    Audio deepfake detectors are trained to distinguish genuine speech from synthetic speech and often perform well on standard benchmarks. Yet the same detector that achieves less than 1% error on one dataset can see its error rate increase twentyfold when evaluated on a different dataset. We argue that one contributing factor is speaker-identity reliance: standard training corpora correlate speaker identity with the genuine/synthetic label,...

    arxiv.org/abs/2607.21820 · PDF

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