Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Sears, David R."'
Autor:
Abri, Faranak, Gutiérrez, Luis Felipe, Namin, Akbar Siami, Sears, David R. W., Jones, Keith S.
Sonification is the science of communication of data and events to users through sounds. Auditory icons, earcons, and speech are the common auditory display schemes utilized in sonification, or more specifically in the use of audio to convey informat
Externí odkaz:
http://arxiv.org/abs/2012.02643
Autor:
Abri, Faranak, Gutierrez, Luis Felipe, Namin, Akbar Siami, Jones, Keith S., Sears, David R. W.
Online reviews play an integral part for success or failure of businesses. Prior to purchasing services or goods, customers first review the online comments submitted by previous customers. However, it is possible to superficially boost or hinder som
Externí odkaz:
http://arxiv.org/abs/2010.04260
Autor:
Sears, David R. W.
This chapter considers how string-based methods might be adapted to address music-analytic questions related to the discovery of musical organization, with particular attention devoted to the analysis of tonal harmony. I begin by applying the taxonom
Externí odkaz:
http://arxiv.org/abs/2006.15411
Autor:
Sears, David R. W., Widmer, Gerhard
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. The present study e
Externí odkaz:
http://arxiv.org/abs/2006.15399
Autor:
Gutierrez-Espinoza, Luis, Abri, Faranak, Namin, Akbar Siami, Jones, Keith S., Sears, David R. W.
Customers represent their satisfactions of consuming products by sharing their experiences through the utilization of online reviews. Several machine learning-based approaches can automatically detect deceptive and fake reviews. Recently, there have
Externí odkaz:
http://arxiv.org/abs/2006.07912
Autor:
Sears, David R. W., Widmer, Gerhard
Researchers often divide symbolic music corpora into contiguous sequences of n events (called n-grams) for the purposes of pattern discovery, key finding, classification, and prediction. What is more, several studies have reported improved task perfo
Externí odkaz:
http://arxiv.org/abs/1807.06700
This study borrows and extends probabilistic language models from natural language processing to discover the syntactic properties of tonal harmony. Language models come in many shapes and sizes, but their central purpose is always the same: to predi
Externí odkaz:
http://arxiv.org/abs/1806.08724
We conduct a large-scale study of language models for chord prediction. Specifically, we compare N-gram models to various flavours of recurrent neural networks on a comprehensive dataset comprising all publicly available datasets of annotated chords
Externí odkaz:
http://arxiv.org/abs/1804.01849
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. To compute features that reflect wha
Externí odkaz:
http://arxiv.org/abs/1709.03629
String-based (or viewpoint) models of tonal harmony often struggle with data sparsity in pattern discovery and prediction tasks, particularly when modeling composite events like triads and seventh chords, since the number of distinct n-note combinati
Externí odkaz:
http://arxiv.org/abs/1707.04457