|
|
|
|
| LEADER |
03321nam a2200577 4500 |
| 001 |
978-3-319-97761-4 |
| 003 |
DE-He213 |
| 005 |
20191027002508.0 |
| 007 |
cr nn 008mamaa |
| 008 |
180925s2019 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783319977614
|9 978-3-319-97761-4
|
| 024 |
7 |
|
|a 10.1007/978-3-319-97761-4
|2 doi
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a TK5102.9
|
| 050 |
|
4 |
|a TA1637-1638
|
| 072 |
|
7 |
|a TTBM
|2 bicssc
|
| 072 |
|
7 |
|a TEC008000
|2 bisacsh
|
| 072 |
|
7 |
|a TTBM
|2 thema
|
| 072 |
|
7 |
|a UYS
|2 thema
|
| 082 |
0 |
4 |
|a 621.382
|2 23
|
| 100 |
1 |
|
|a Mary, Leena.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 245 |
1 |
0 |
|a Searching Speech Databases
|h [electronic resource] :
|b Features, Techniques and Evaluation Measures /
|c by Leena Mary, Deekshitha G.
|
| 250 |
|
|
|a 1st ed. 2019.
|
| 264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
|
| 300 |
|
|
|a XII, 76 p. 39 illus., 3 illus. in color.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
|x 2191-737X
|
| 505 |
0 |
|
|a 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.
|
| 520 |
|
|
|a 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.
|
| 650 |
|
0 |
|a Signal processing.
|
| 650 |
|
0 |
|a Image processing.
|
| 650 |
|
0 |
|a Speech processing systems.
|
| 650 |
|
0 |
|a Computational linguistics.
|
| 650 |
|
0 |
|a Natural language processing (Computer science).
|
| 650 |
|
0 |
|a Database management.
|
| 650 |
1 |
4 |
|a Signal, Image and Speech Processing.
|0 http://scigraph.springernature.com/things/product-market-codes/T24051
|
| 650 |
2 |
4 |
|a Computational Linguistics.
|0 http://scigraph.springernature.com/things/product-market-codes/N22000
|
| 650 |
2 |
4 |
|a Natural Language Processing (NLP).
|0 http://scigraph.springernature.com/things/product-market-codes/I21040
|
| 650 |
2 |
4 |
|a Database Management.
|0 http://scigraph.springernature.com/things/product-market-codes/I18024
|
| 700 |
1 |
|
|a G, Deekshitha.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319977607
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319977621
|
| 830 |
|
0 |
|a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
|x 2191-737X
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-97761-4
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-ENG
|
| 950 |
|
|
|a Engineering (Springer-11647)
|
