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.

Autorentext
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.

Zusammenfassung

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.

Inhalt
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.