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Searching Speech Databases : Features, Techniques and Evaluation Measures / by Leena Mary, Deekshitha G

By: Mary, Leena, autor
Contributor(s): SpringerLink (Online service) | G, Deekshitha, autor
Series: (Engineering (Springer-11647)); (SpringerBriefs in Speech Technology Studies in Speech Signal Processing Natural Language Understanding and Machine Learning, 2191-737X).Publisher: Cham : Springer, 2019Description: 1 recurso en línea (XII, 76 páginas) : 39 ilustraciones, 3 ilustraciones a color.ISBN: 9783319977614.Subject: Recuperación de la informaciónOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Audio Search Techniques -- Classification of Audio Search Techniques -- Database and Evaluation Metrics -- Features for Audio Search -- Techniques for Audio Search -- Systems for Keyword Spotting -- Systems for Spoken Term Detection -- Systems for Query by Example -- Conclusion.
Abstract: This book presents techniques for audio search, aimed to retrieve information from massive speech databases by using audio query words. The authors examine different features, techniques and evaluation measures attempted by researchers around the world. The topics covered also include available databases, software / tools, patents / copyrights, and different platforms for benchmarking. The content is relevant for developers, academics, and students.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9 .D343 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBooks24062403
Total holds: 0

Introduction -- Audio Search Techniques -- Classification of Audio Search Techniques -- Database and Evaluation Metrics -- Features for Audio Search -- Techniques for Audio Search -- Systems for Keyword Spotting -- Systems for Spoken Term Detection -- Systems for Query by Example -- Conclusion.

This book presents techniques for audio search, aimed to retrieve information from massive speech databases by using audio query words. The authors examine different features, techniques and evaluation measures attempted by researchers around the world. The topics covered also include available databases, software / tools, patents / copyrights, and different platforms for benchmarking. The content is relevant for developers, academics, and students.

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