Search Results for author: David R. W. Sears

Found 7 papers, 0 papers with code

Predicting Emotions Perceived from Sounds

no code implementations4 Dec 2020 Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones

This paper conducts an experiment through which several mainstream and conventional machine learning algorithms are developed to study the prediction of emotions perceived from sounds.

String-based methods for tonal harmony: A corpus study of Haydn's string quartets

no code implementations27 Jun 2020 David R. W. Sears

I begin by applying the taxonomy of mental organization proposed by Mandler (1979) to the concept of musical organization.

Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams

no code implementations27 Jun 2020 David R. W. Sears, Gerhard Widmer

Recurrent voice-leading patterns like the Mi-Re-Do compound cadence (MRDCC) rarely appear on the musical surface in complex polyphonic textures, so finding these patterns using computational methods remains a tremendous challenge.

Fake Reviews Detection through Ensemble Learning

no code implementations14 Jun 2020 Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears

Customers represent their satisfactions of consuming products by sharing their experiences through the utilization of online reviews.

Ensemble Learning

What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music

no code implementations11 Sep 2017 Carlos Cancino-Chacón, Maarten Grachten, David R. W. Sears, Gerhard Widmer

In this paper we present preliminary work examining the relationship between the formation of expectations and the realization of musical performances, paying particular attention to expressive tempo and dynamics.

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