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001 978-3-319-31683-3
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008 160412s2016 sz | s |||| 0|eng d
020 _a9783319316833
_9978-3-319-31683-3
024 7 _a10.1007/978-3-319-31683-3
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
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072 7 _aTEC008000
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082 0 4 _a621.382
_223
100 1 _aKunche, Prajna.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_932639
245 1 0 _aMetaheuristic Applications to Speech Enhancement
_h[electronic resource] /
_cby Prajna Kunche, K.V.V.S. Reddy.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aIX, 122 p. 50 illus., 40 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
505 0 _aIntroduction -- Adaptive Noise Cancellation to Speech Enhancement -- Heuristic and Metaheuristic Optimization -- Application of Metaheuristics to Speech Enhancement -- Speech Enhancement Based on Accelerated Particle Swarm Optimization -- Speech Enhancement Approach Based on Gravitational Search Algorithm (GSA) -- Speech Enhancement Based on Hybrid PSOGSA -- Speech Enhancement Based on Bat Algorithm -- Conclusion and Future Scope.
520 _aThis book serves as a basic reference for those interested in the application of metaheuristics to speech enhancement. The major goal of the book is to explain the basic concepts of optimization methods and their use in heuristic optimization in speech enhancement to scientists, practicing engineers, and academic researchers in speech processing. The authors discuss why it has been a challenging problem for researchers to develop new enhancement algorithms that aid in the quality and intelligibility of degraded speech. They present powerful optimization methods to speech enhancement that can help to solve the noise reduction problems. Readers will be able to understand the fundamentals of speech processing as well as the optimization techniques, how the speech enhancement algorithms are implemented by utilizing optimization methods, and will be given the tools to develop new algorithms. The authors also provide a comprehensive literature survey regarding the topic.
650 0 _aSignal processing.
_94052
650 0 _aAlgorithms.
_93390
650 0 _aComputational linguistics.
_96146
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aAlgorithms.
_93390
650 2 4 _aComputational Linguistics.
_96146
700 1 _aReddy, K.V.V.S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_932640
710 2 _aSpringerLink (Online service)
_932641
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319316819
776 0 8 _iPrinted edition:
_z9783319316826
830 0 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
_932642
856 4 0 _uhttps://doi.org/10.1007/978-3-319-31683-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75282
_d75282