The Resource Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework, by Mousmita Sarma, Kandarpa Kumar Sarma, (electronic resource)

Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework, by Mousmita Sarma, Kandarpa Kumar Sarma, (electronic resource)

Label
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
Title
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
Statement of responsibility
by Mousmita Sarma, Kandarpa Kumar Sarma
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems
Member of
http://library.link/vocab/creatorName
Sarma, Mousmita
Image bit depth
0
LC call number
Q342
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Sarma, Kandarpa Kumar.
  • SpringerLink
Series statement
Studies in Computational Intelligence,
Series volume
550
http://library.link/vocab/subjectName
  • Engineering
  • Computer software
  • Engineering
  • Computational Intelligence
  • Signal, Image and Speech Processing
  • Algorithm Analysis and Problem Complexity
Label
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework, by Mousmita Sarma, Kandarpa Kumar Sarma, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Part 1 (Background): Introduction -- Speech Processing Technology-Basic Consideration -- Fundamental Considerations of ANN -- Sounds of Assamese Language -- State of Research of Speech Recognition -- Part 2 (Design Aspects): Phoneme Segmentation Technique using Self Organizing Map (SOM) -- Application of Proposed Phoneme Segmentation Technique in Spoken Word Recognition -- Application of Clustering Techniques to Generate A Priori Knowledge for Spoken Word Recognition -- Application of Proposed Phoneme Segmentation Technique in Speaker Identification -- Conclusion
Dimensions
unknown
Extent
XXI, 187 p. 62 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9788132218623
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-81-322-1862-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-81-322-1862-3
Label
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework, by Mousmita Sarma, Kandarpa Kumar Sarma, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Part 1 (Background): Introduction -- Speech Processing Technology-Basic Consideration -- Fundamental Considerations of ANN -- Sounds of Assamese Language -- State of Research of Speech Recognition -- Part 2 (Design Aspects): Phoneme Segmentation Technique using Self Organizing Map (SOM) -- Application of Proposed Phoneme Segmentation Technique in Spoken Word Recognition -- Application of Clustering Techniques to Generate A Priori Knowledge for Spoken Word Recognition -- Application of Proposed Phoneme Segmentation Technique in Speaker Identification -- Conclusion
Dimensions
unknown
Extent
XXI, 187 p. 62 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9788132218623
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-81-322-1862-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-81-322-1862-3

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