Searching Speech Databases Features, Techniques and Evaluation Measures /

• Κύριοι συγγραφείς: Mary, Leena (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), G, Deekshitha (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Computational linguistics.; Natural language processing (Computer science).; Database management.; Signal, Image and Speech Processing.; Computational Linguistics.; Natural Language Processing (NLP).; Database Management.
• Φυσική περιγραφή: XII, 76 p. 39 illus., 3 illus. in color. online resource.
• ISBN: 9783319977614
• ISSN: 2191-737X
• DOI: 10.1007/978-3-319-97761-4

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.