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Acoustic Analysis and Non Linear Dynamics Applied to Voice Pathology Detection: A Review

Acceso Cerrado
ID Minciencias: ART-0000176915-143
Ranking: ART-GC_ART

Abstract:

A complete review of scientific studies and relevant patents oriented to voice pathology detection is presented in order to provide a good and quick reference for readers who want to understand how the field of automatic detection of voice disorders has evolved. Referenced works are divided into three groups, one focused on classical Acoustic Analysis of Voice (AAV), second on Non Linear Dynamics (NLD) and third on different and relevant patents presented in the development of systems for the automatic evaluation of pathological voices. The first group comprises not only typical acoustics but also noise measures and Cepstral analysis. In terms of NLD, both complexity measures and different versions of the entropies have been included, as well as other features. The patents referenced here have been presented from 2003 to 2011 in the patents offices located in United States, Europe and Asia. Keywords: Acoustic analysis of voice, cepstral analysis, complexity measures, entropies, non-linear dynamics analysis, voice pathology detection, Spearman Rank Correlation Coefficient, stress, speech, speech therapy, voice disorder detection, Acoustic, aeoracoustic, NLD techniques, Amplitude and Frequency Modulation

Tópico:

Speech Recognition and Synthesis

Citaciones:

Citations: 21
21

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Paperbuzz Score: 0
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Información de la Fuente:

FuenteRecent Patents on Signal Processing
Cuartil año de publicaciónNo disponible
Volumen2
Issue2
Páginas96 - 107
pISSNNo disponible
ISSN1877-6124

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