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Searching Speech Databases [electronic resource] : Features, Techniques and Evaluation Measures / by Leena Mary, Deekshitha G.

By: Mary, Leena [author.].
Contributor(s): G, Deekshitha [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XII, 76 p. 39 illus., 3 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319977614.Subject(s): Signal processing | Computational linguistics | Natural language processing (Computer science) | Database management | Signal, Speech and Image Processing | Computational Linguistics | Natural Language Processing (NLP) | Database ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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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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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