mlsanityData to 14 Oct 2026

Vocal Music under Phoneme-Conditional Analysis

arXiv 2608.30823 ↗First posted 31 Aug 2026cs.SD cs.CL eess.AScited by 0

Not on the map. Why?

Abstract (arXiv)

The vocal music of each language carries a distinctive sonic identity, even without instrumental accompaniment. We ask whether these differences are measurable and traceable to specific phonemes. To tackle this question, we introduce phoneme-conditional analysis, which isolates the acoustic effect of typologically distinctive phonemes by comparing marker syllables against matched non-marker controls within the same song, holding singer, melody, and genre constant. Across nine typologically diverse languages and thousands of songs, we measure effects along five acoustic dimensions. Song-level profiles built from these effects identify the language of an unaccompanied vocal at 85.5% balanced accuracy in a nine-way classification with folds grouped by artist; whether the separability arises by accumulation of the phoneme-local effects themselves is left open. Our findings suggest that phonological structure leaves systematic and measurable traces in how each language is sung.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 55 references that are in the map. First posted on arXiv 31 Aug 2026.

Builds on

5 of 55 references.

References · 5

  1. 2023Scaling Speech Technology to 1,000+ Languagescited by 411
  2. 2023RMVPE: A Robust Model for Vocal Pitch Estimation in Polyphonic Musiccited by 30
  3. 2024GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Taskscited by 30
  4. 2024Mel-RoFormer for Vocal Separation and Vocal Melody Transcriptioncited by 8
  5. 2025FCPE: A Fast Context-based Pitch Estimation Modelcited by 2

Built on by

Not cited yet.