Overview
- Examines available audio search techniques for finding information in large speech databases
- Useful for system developers, academic and research community
- Presents various features, their representations, evaluation measures, and techniques for searching in speech databases
Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)
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Table of contents (5 chapters)
Keywords
About this book
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.​
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Searching Speech Databases
Book Subtitle: Features, Techniques and Evaluation Measures
Authors: Leena Mary, Deekshitha G
Series Title: SpringerBriefs in Speech Technology
DOI: https://doi.org/10.1007/978-3-319-97761-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-319-97760-7Published: 02 October 2018
eBook ISBN: 978-3-319-97761-4Published: 25 September 2018
Series ISSN: 2191-737X
Series E-ISSN: 2191-7388
Edition Number: 1
Number of Pages: XII, 76
Number of Illustrations: 36 b/w illustrations, 3 illustrations in colour
Topics: Signal, Image and Speech Processing, Computational Linguistics, Natural Language Processing (NLP), Database Management