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010   $a981-13-2303-8
024 7 $a10.1007/978-981-13-2303-4
035   $a(CKB)4100000007111094
035   $a(MiAaPQ)EBC5597001
035   $a(DE-He213)978-981-13-2303-4
035   $a(PPN)232469768
035   $a(EXLCZ)994100000007111094
100   $a20181103d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTime Domain Representation of Speech Sounds $eA Case Study in Bangla /$fby Asoke Kumar Datta
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (161 pages)
311   $a981-13-2302-X 
320   $aIncludes bibliographical references.
327   $aChapter 1. Introduction -- Chapter 2. Spectral Domain -- Chapter 3. Cognition of Phones -- Chapter 4. Signal Processing -- Chapter 5. Time Domain Representation of Phones -- Chapter 6. Role of Lexical Knowledge in ASR -- Chapter 7. Random Perturbations -- Chapter 8. Non linearity in Speech signal.
330   $aThe book presents the history of time-domain representation and the extent of its development along with that of spectral domain representation in the cognitive and technology domains. It discusses all the cognitive experiments related to this development, along with details of technological developments related to both automatic speech recognition (ASR) and text to speech synthesis (TTS), and introduces a viable time-domain representation for both objective and subjective analysis, as an alternative to the well-known spectral representation. The book also includes a new cohort study on the use of lexical knowledge in ASR. India has numerous official dialects, and spoken-language technology development is a burgeoning area. In fact TTS and ASR taken together constitute the most important technology for empowering people. As such, the book describes time domain representation in such a way that it can be easily and seamlessly incorporated into ASR and TTS research and development. In short, it is a valuable guidebook for the development of ASR and TTS in all the Indian Standard Dialects using signal domain parameters.
606   $aUser interfaces (Computer systems)
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aNatural language processing (Computer science)
606   $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
615  0$aUser interfaces (Computer systems)
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aNatural language processing (Computer science)
615 14$aUser Interfaces and Human Computer Interaction.
615 24$aSignal, Image and Speech Processing.
615 24$aNatural Language Processing (NLP).
676   $a006.454
700   $aDatta$b Asoke Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0941416
906   $aBOOK
912   $a9910299295003321
996   $aTime Domain Representation of Speech Sounds$92123471
997   $aUNINA