Time Domain Representation of Speech Sounds A Case Study in Bangla /

The 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 develop...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Datta, Asoke Kumar (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Datta, Asoke Kumar.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Time Domain Representation of Speech Sounds  |h [electronic resource] :  |b A Case Study in Bangla /  |c by Asoke Kumar Datta. 
250 |a 1st ed. 2018. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2018. 
300 |a XVI, 154 p. 117 illus., 27 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Chapter 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. 
520 |a The 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. 
650 0 |a User interfaces (Computer systems). 
650 0 |a Signal processing. 
650 0 |a Image processing. 
650 0 |a Speech processing systems. 
650 0 |a Natural language processing (Computer science). 
650 1 4 |a User Interfaces and Human Computer Interaction.  |0 http://scigraph.springernature.com/things/product-market-codes/I18067 
650 2 4 |a Signal, Image and Speech Processing.  |0 http://scigraph.springernature.com/things/product-market-codes/T24051 
650 2 4 |a Natural Language Processing (NLP).  |0 http://scigraph.springernature.com/things/product-market-codes/I21040 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789811323027 
776 0 8 |i Printed edition:  |z 9789811323041 
856 4 0 |u https://doi.org/10.1007/978-981-13-2303-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)