Poems as Musical Instruments: an AI Music Performance Interface Based on the Concepts of Chinese Qin Songs

Abstract The author has designed a new interface of musical expression called Poem-Qin, which reveals the relationship between text and music, supporting self-accompanied singing and cross-media musical practices. Drawing inspiration from Chinese qin songs and movable-type printing, the author creatively integrates Chinese characters into the interface, controlling music with tone inflections and linguistic rhythms. Moreover, they have developed an AI model for text-to-melody composing to assist in creating new music content. User and audience testing has demonstrated that it offers a positive experience and effective creative results.

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Publication Details

Journal
Leonardo
Published
2026-03-24
DOI
https://doi.org/10.1162/leon.a.2696
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Poems as Musical Instruments: an AI Music Performance Interface Based on the Concepts of Chinese Qin Songs

Leonardo
Music Technology and Sound Studies
article

Poems as Musical Instruments: an AI Music Performance Interface Based on the Concepts of Chinese Qin Songs

article en

Abstract

Abstract The author has designed a new interface of musical expression called Poem-Qin, which reveals the relationship between text and music, supporting self-accompanied singing and cross-media musical practices. Drawing inspiration from Chinese qin songs and movable-type printing, the author creatively integrates Chinese characters into the interface, controlling music with tone inflections and linguistic rhythms. Moreover, they have developed an AI model for text-to-melody composing to assist in creating new music content. User and audience testing has demonstrated that it offers a positive experience and effective creative results.

Leonardo
Zhejiang University of Science and Technology (CN), Zhejiang University of Technology (CN), Zhejiang University (CN)
Quality Education
Openalex Percentile: Top 9%
Music Technology and Sound Studies
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