cs.SD · 2026-08-20 · No. 90

Sound, 2026-08-20.

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

01 — The papers

2 entries
  1. 01

    Finetuning Strategies for Querying Sounds by Vocal Imitation

    Aditya Bhattacharjee, Christos Plachouras, Sungkyun Chang, Emmanouil Benetos

    cs.SD · cs.AI · cs.IR

    This technical report describes our winning submission to the AES AIMLA 2025 Challenge on querying sound effects by vocal imitation. We investigate two complementary fine-tuning strategies: contrastive learning with a frozen, pretrained CED encoder, and joint contrastive-triplet learning with semi-hard negatives using a MobileNetV3 encoder. This report has been updated for posterity to include details released after the challenge.

    arxiv.org/abs/2608.19174 · PDF

  2. 02

    Geometric Iterative Retrieval for Neural Audio Codec Resynthesis

    Leo Schmidt-Traub, Frédéric Berdoz, Luca A. Lanzendörfer, Roger Wattenhofer

    cs.SD · cs.LG

    Neural audio codecs based on Residual Vector Quantization (RVQ) have become the dominant discrete representation for token-based general audio generation, yet resynthesizing high-quality audio from coarse codec tokens remains an open problem and bounds the fidelity of every system that generates them. Prior work has framed resynthesis as a choice between discrete token prediction and continuous regression. We argue that this dichotomy is...

    arxiv.org/abs/2608.19141 · PDF

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