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Searching Speech Databases: Features, Techniques and Evaluation Measures de Leena Mary

Searching Speech Databases: Features, Techniques and Evaluation Measures: SpringerBriefs in Speech Technology

Autor Leena Mary, Deekshitha G
en Limba Engleză Paperback – 2 oct 2018
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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Specificații

ISBN-13: 9783319977607
ISBN-10: 3319977601
Pagini: 100
Ilustrații: XII, 76 p. 39 illus., 3 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.14 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Speech Technology

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

Dr. Leena Mary received her Ph.D. from the Indian Institute of Technology, Madras. She is a professor at Rajiv Gandhi Institute of Technology, Kottayam, Kottayam with expertise in Human-computer Interaction. Her research achievements include completion of 3 sponsored projects & two ongoing (funded by government agencies), Development of Centre for Advanced Signal Processing (CASP) Research Lab funded by CERD, Govt. of Kerala. She has published several research papers and a book on Extraction and Representation of Prosody for Speaker, Speech and Language Recognition by Springer.Dr. Deekshitha G. graduated in Advanced Communication and Information Systems from Rajiv Gandhi Institute of Technology, Kottayam, Kerala. He was previously a research scholar at Advanced Digital Signal Processing Lab, Dept. of ECE, RIT Kottayam, Kerala and at RIT, Kottayam, Kerala. His areas of interest include image processing and speech processing. He has published several papers in journals and conference proceedings.

Caracteristici

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