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.
Online reviews play an integral part for success or failure of businesses.
I begin by applying the taxonomy of mental organization proposed by Mandler (1979) to the concept of musical organization.
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.
Customers represent their satisfactions of consuming products by sharing their experiences through the utilization of online reviews.
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.