Proceedings of the International Society for Music Information Retrieval

Cross Modal Aesthetics From A Feature-Extraction Perspective

Proceedings of the International Society for Music Information Retrieval
This paper investigates perceptual relationships between art in the auditory and visual domains. First, we conducted a behavioral experiment asking subjects to assess similarity between 10 musical recordings and 10 works of abstract art. We found a significant degree of agreement across subjects as to which i mages correspond to which audio, even though neither the audio nor the images possessed semantic content. Secondly, we sought to find the relationship between audio and images within a defined feature space that correlated with the subjective similarity judgments.

Elementary Sources: Latent Component Analysis for Music Composition

Proceedings of the International Society for Music Information Retrieval
Complexity of music audio signals creates an access prollem to specific musical objects or structures within the source samples. Instead of employing more commonly used audio analysis or production techniques to access features, we describe extraction of sub-mixtures from real-world audio using a Probabilistic Latent Component Analysis-based de- composition tool for music composition.

Groove Kernels as Rhythmic-Acoustic Motif Descriptors

Proceedings of the International Society for Music Information Retrieval
The “groove” of a song correlates with enjoyment and bodily movement. Recent work has shown that humans often agree whether a song does or does not have groove and how much groove a song has. It is therefore useful to develop algorithms that characterize the quality of groove across songs. We evaluate three unsupervised tempo-invariant models for measuring pairwise musical groove similarity: A temporal model, a timbre-temporal model, and a pitch-timbre-temporal model.