arXiv (OAI Expanded)
open access
Multimodal Dataset Normalization and Perceptual Validation for Music-Taste Correspondences
Music and food traditions are both intangible cultural heritage, and the links between them, how a sound can make a taste seem sweeter or more bitter, are increasingly used in museum, exhibition and gastronomic-tourism settings. Modelling those links computationally runs into a data bottleneck famil
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning#1116114
- How the brain predicts timing: distinct network hubs for predicting and evaluating auditory sensory events.#122974
- Best practices for applying the Nova food classification system#218030
- Klasifikasi Instrumen Musik dari Sinyal Audio menggunakan ResNet#1066850
- Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis#1105049
Record · ID 1084182
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive