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010   $a3-319-03116-3
024 7 $a10.1007/978-3-319-03116-3
035   $a(CKB)3710000000085763
035   $a(EBL)1698115
035   $a(OCoLC)880456991
035   $a(SSID)ssj0001185241
035   $a(PQKBManifestationID)11748846
035   $a(PQKBTitleCode)TC0001185241
035   $a(PQKBWorkID)11198724
035   $a(PQKB)10315319
035   $a(MiAaPQ)EBC1698115
035   $a(DE-He213)978-3-319-03116-3
035   $a(PPN)176107541
035   $a(EXLCZ)993710000000085763
100   $a20140128d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aSpeech Processing in Mobile Environments /$fby K. Sreenivasa Rao, Anil Kumar Vuppala
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (129 p.)
225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X
300   $aDescription based upon print version of record.
311   $a3-319-03115-5 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Background and Literature Review -- Vowel Onset Point Detection from Coded and Noisy Speech -- Consonant-Vowel Recognition in Presence of Coding and Background Noise -- Spotting and Recognition of Consonant-Vowel Units from Continuous Speech -- Speaker Identification and Time Scale Modification Using VOPs -- Summary and Conclusions -- MFCC Features -- Speech Orders -- Pattern Recognition Models.
330   $aThis book focuses on speech processing in the presence of low-bit rate coding and varying background environments. The methods presented in the book exploit the speech events which are robust in noisy environments. Accurate estimation of these crucial events will be useful for carrying out various speech tasks such as speech recognition, speaker recognition and speech rate modification in mobile environments. The authors provide insights into designing and developing robust methods to process the speech in mobile environments. Covering temporal and spectral enhancement methods to minimize the effect of noise and examining methods and models on speech and speaker recognition applications in mobile environments.
410  0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aComputers
606   $aElectrical engineering
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aComputers.
615  0$aElectrical engineering.
615 14$aSignal, Image and Speech Processing.
615 24$aInformation Systems and Communication Service.
615 24$aCommunications Engineering, Networks.
676   $a006.454
700   $aRao$b K. Sreenivasa$g(Krothapalli Sreenivasa)$4aut$4http://id.loc.gov/vocabulary/relators/aut$01614710
702   $aVuppala$b Anil Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299485503321
996   $aSpeech Processing in Mobile Environments$94001688
997   $aUNINA