cs.SD · 2026-09-02 · No. 103

Sound, 2026-09-02.

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

    Artificial Rosetta Stone: Constrained Maximum A Posteriori (MAP) Reconstruction of Symbolic Raga Sequences via Order-k Markov Models

    Saanvi Raghavendran, Abhishek Bhattacharjee

    cs.SD · cs.LG · stat.ML

    Reconstructing a damaged musical fragment is an inverse problem: the observed sequence contains partial information, while a raga encodes constraints limiting allowable completions. This paper formalizes a mathematical framework for this, proposing the Artificial Rosetta Stone (ARS). We separate three claims often conflated: a symbolic sequence can be reconstructed probabilistically; a sequence can be consistent with an explicit grammar; and...

    arxiv.org/abs/2609.01064 · PDF

  2. 02

    On the Human and Computer Alignment of Attribute-Based Music Matches

    Roser Batlle-Roca, Woosung Choi, Joan Serrà, Fabio Morreale, Wei-Hsiang Liao, Xavier Serra, Emilia Gómez, Yuki Mitsufuji

    cs.SD · cs.AI

    Recent advances in generative AI are raising ethical concerns regarding the originality of generated content and the potential replication of training data, with further implications for transparency, attribution, and intellectual property. In music, several computational approaches have been proposed to identify potential replication, using audio-based similarity metrics. Yet, their alignment with human judgments across distinct musical...

    arxiv.org/abs/2609.00987 · PDF

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