000 | 03635nam a22005655i 4500 | ||
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001 | 978-3-319-31683-3 | ||
003 | DE-He213 | ||
005 | 20220801213526.0 | ||
007 | cr nn 008mamaa | ||
008 | 160412s2016 sz | s |||| 0|eng d | ||
020 |
_a9783319316833 _9978-3-319-31683-3 |
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024 | 7 |
_a10.1007/978-3-319-31683-3 _2doi |
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050 | 4 | _aTK5102.9 | |
072 | 7 |
_aTJF _2bicssc |
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_aUYS _2bicssc |
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_aTJF _2thema |
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_aUYS _2thema |
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_a621.382 _223 |
100 | 1 |
_aKunche, Prajna. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _932639 |
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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. |
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300 |
_aIX, 122 p. 50 illus., 40 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, _x2191-7388 |
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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 |
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650 | 0 |
_aAlgorithms. _93390 |
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650 | 0 |
_aComputational linguistics. _96146 |
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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 |
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710 | 2 |
_aSpringerLink (Online service) _932641 |
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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 |