|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
b3255441 |
003 |
MWH |
005 |
20191026172344.0 |
007 |
cr nn 008mamaa |
008 |
180802s2019 gw | s |||| 0|eng d |
020 |
|
|
|a 9783319911717
|
024 |
7 |
|
|a 10.1007/978-3-319-91171-7
|2 doi
|
035 |
|
|
|a (DE-He213)978-3-319-91171-7
|
050 |
|
4 |
|a E-Book
|
072 |
|
7 |
|a TTBM
|2 bicssc
|
072 |
|
7 |
|a TEC008000
|2 bisacsh
|
072 |
|
7 |
|a TTBM
|2 thema
|
072 |
|
7 |
|a UYS
|2 thema
|
100 |
1 |
|
|a Mary, Leena.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
245 |
1 |
0 |
|a Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition
|h [electronic resource] /
|c by Leena Mary.
|
250 |
|
|
|a 2nd ed. 2019.
|
264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
|
300 |
|
|
|a X, 62 p. 28 illus., 8 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
|
490 |
1 |
|
|a Springer eBook Collection
|
505 |
0 |
|
|a Introduction -- Significance of Prosody for Speaker, Language, Emotion and Speech Recognition -- Automatic Extraction of Prosody for Speaker, Language, Emotion and Speech Recognition -- Modeling and Fusion of Prosody for Speaker, Language, Emotion and Speech Recognition -- Conclusion.
|
520 |
|
|
|a This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents methods for extraction and representation of prosody for applications such as speaker recognition, language recognition and speech recognition. The updated book also includes information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.
|
590 |
|
|
|a Loaded electronically.
|
590 |
|
|
|a Electronic access restricted to members of the Holy Cross Community.
|
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).
|
690 |
|
|
|a Electronic resources (E-books)
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
830 |
|
0 |
|a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
|x 2191-737X
|
830 |
|
0 |
|a Springer eBook Collection.
|
856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-319-91171-7
|3 Click to view e-book
|
907 |
|
|
|a .b32554412
|b 04-18-22
|c 02-26-20
|
998 |
|
|
|a he
|b 02-26-20
|c m
|d @
|e -
|f eng
|g gw
|h 0
|i 1
|
912 |
|
|
|a ZDB-2-ENG
|
950 |
|
|
|a Engineering (Springer-11647)
|
902 |
|
|
|a springer purchased ebooks
|
903 |
|
|
|a SEB-COLL
|
945 |
|
|
|f - -
|g 1
|h 0
|j - -
|k - -
|l he
|o -
|p $0.00
|q -
|r -
|s b
|t 38
|u 0
|v 0
|w 0
|x 0
|y .i21686038
|z 02-26-20
|
999 |
f |
f |
|i bdbbc4b3-1d15-5adb-a3bc-071cd8618bc7
|s 94a68ebc-3918-551d-850c-98cf927efa88
|
952 |
f |
f |
|p Online
|a College of the Holy Cross
|b Main Campus
|c E-Resources
|d Online
|e E-Book
|h Library of Congress classification
|i Elec File
|n 1
|