cs.SD · 2026-09-10 · No. 111

Sound, 2026-09-10.

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

01 — The papers

5 entries
  1. 01

    TimeCues Studio: A Workspace for Music Annotation and Algorithm Prototyping

    Sapir Caduri, Yoav Goldberg

    cs.SD · cs.HC · cs.LG · cs.MM

    Multimedia applications require precise music annotation-labeled positions, segments, or loops-placed by hand or algorithmically. Machine-learning algorithms are scalable and effective but need annotated training data, scarce for many tasks. TimeCues Studio is an open-source workspace where algorithm-development teams annotate a music corpus, compare detection algorithms against those annotations, and prototype new ones. Unlike existing tools...

    arxiv.org/abs/2609.10338 · PDF

  2. 02

    NOPE-HYPE: A Structured Simulation Workflow for Robust Speech-to-Text Across Diverse Acoustic Environments

    Niramay M. Patel, Bibek Behera, Raksha Sharma

    cs.SD · cs.AI · cs.CL · cs.LG

    Robust speech-to-text translation systems should perform reliably across diverse acoustic conditions, yet practical pipelines lack controllable tools for systematic environment exploration. Large speech models remain sensitive to unseen acoustic conditions, as training data rarely cover the full range of real environments.We present NOPEHYPE, a structured training workflow that combines a controllable environment simulator, coverage-optimal...

    arxiv.org/abs/2609.10058 · PDF

  3. 03

    Orukeet: Multilingual ASR with Frozen Gabor Kernels

    Nathan Roll, Irene Yi, Büşra Marşan, Vianney Grenez, Gabriel Stein, Momcilo Mrkaic, Pavle Padjin, Vladimir...

    cs.SD · cs.LG · eess.AS

    Orukeet replaces half of an adapted Parakeet encoder's temporal filters with 12,288 fitted Gabor kernels, freezes these replacements, and trains the remaining parameters on multilingual and multi-accent data. Final adaptation and checkpoint selection use LibriSpeech test-other. Across 20,146 FLEURS recordings in 25 languages, pooled word error rate (WER) falls from Parakeet's 11.01% to Orukeet's 9.85%, a 10.6% relative reduction. Orukeet has...

    arxiv.org/abs/2609.10054 · PDF

  4. 04

    Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations

    Soumyadeep Roy

    cs.SD · cs.LG

    Voice-cloning fraud increasingly relies on surgical injection: a genuine conversation in which only one or two sentences are replaced by synthetic speech. Utterance-level deepfake detectors emit a single real/fake label per clip and cannot report where the synthetic speech lies. We formalise this as Temporal Deepfake Localisation in Multi-Speaker Conversations (TDLMC), show that equal error rate and min-DCF are ill-posed once a file contains...

    arxiv.org/abs/2609.10051 · PDF

  5. 05

    Deterministic Prompting for Speaker-Stable Low-Resource Greek TTS

    Georgios Syllas, Efthymios Georgiou, Kosmas Kritsis, Alexandros Potamianos

    cs.SD · cs.CL · cs.LG

    Modern TTS systems approach human quality for high-resource languages but degrade when clean speech data is scarce. Modern Greek exemplifies this, lacking the curated corpora behind state-of-the-art synthesis. We propose a data curation recipe that transforms audiobook recordings into TTS-ready data via WhisperX alignment and filtering. Then we fine-tune Parler-TTS (880M), a prompt-based multilingual model whose pre-training encodes phonetic...

    arxiv.org/abs/2609.10022 · PDF

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