Searching Speech Databases - Features, Techniques and Evaluation Measures

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.

Table des matières

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.

A propos de l'auteur

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.

Détails du produit

• Auteurs: Deekshitha G, Leena Mary
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 02.10.2018
• EAN: 9783319977607
• ISBN: 978-3-31-997760-7
• Pages: 76
• Dimensions: 157 mm x 236 mm x 7 mm
• Poids: 149 g
• Illustrations: XII, 76 p. 39 illus., 3 illus. in color.
• Thème: SpringerBriefs in Speech Technology
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Electronique, électrotechnique, technique de l'information; C, Datenbanken, Natürliche Sprachen und maschinelle Übersetzung, Computerlinguistik und Korpuslinguistik, engineering, Database Management, database programming, Signal, Image and Speech Processing, Signal Processing, Speech processing systems, Digital and Analog Signal Processing, Image processing, Databases, Computational Linguistics, Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science)