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Related Experiment Video

Updated: May 22, 2026

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

A composition algorithm based on crossmodal taste-music correspondences.

Bruno Mesz¹, Mariano Sigman, Marcos A Trevisan

¹Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Bernal Buenos Aires, Argentina.

Frontiers in Human Neuroscience

|May 5, 2012

Summary

This summary is machine-generated.

Music can be algorithmically generated from taste words, linking sensory experiences. New music pieces, based on taste profiles, were successfully recognized by listeners, demonstrating a cross-modal connection.

Keywords:

cross-modal associations music musical algorithm semantics taste

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Area of Science:

Cognitive Science
Music Psychology
Computational Musicology

Background:

Established structural similarities between language and music.
Limited research on semantic correspondences between music and other sensory domains.
Prior work linked taste words to specific musical parameters (pitch, articulation, tempo, consonance).

Purpose of the Study:

To investigate the algorithmic generation of music from taste words.
To explore the cross-modal association between taste semantics and music perception.
To test if algorithmically generated music can elicit specific taste associations.

Main Methods:

Developed an algorithm using a large corpus of songs to generate music from taste words.
Algorithmically selected and modified song fragments to match taste-specific musical spaces.
Non-musicians judged the generated musical pieces for taste associations.

Main Results:

Participants could decode the intended taste-word from the generated music significantly above chance.
Demonstrated a successful mapping between taste semantics and algorithmically generated musical features.
Validated the algorithm's capability to produce music evoking specific taste perceptions.

Conclusions:

Algorithmic generation of music from taste words is feasible and effective.
Findings support a deeper semantic connection between taste and music perception.
Potential for interdisciplinary performances bridging music, cognitive science, and sensory research.