Atjaunināt sīkdatņu piekrišanu

Man-Machine Speech Communication: 14th National Conference, NCMMSC 2017, Lianyungang, China, October 1113, 2017, Revised Selected Papers 1st ed. 2018 [Mīkstie vāki]

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 143 pages, height x width: 235x155 mm, weight: 454 g, 49 Illustrations, black and white; XII, 143 p. 49 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 807
  • Izdošanas datums: 03-Feb-2018
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811081107
  • ISBN-13: 9789811081101
  • Mīkstie vāki
  • Cena: 48,70 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 57,30 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 143 pages, height x width: 235x155 mm, weight: 454 g, 49 Illustrations, black and white; XII, 143 p. 49 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 807
  • Izdošanas datums: 03-Feb-2018
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811081107
  • ISBN-13: 9789811081101

This book constitutes the refereed proceedings of the 14th National Conference on Man-Machine Speech Communication, NCMMSC 2017, held in Lianyungang, China, in October 2017.

The 13 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and phonetic in speech technology, speech generation, speech analyzing and modelling, speech processing of ethnic minorities, speech emotion recognition and audio signal processing.

Challenging issues in speech recognition and enhancement.- Speaker and language recognition, speech synthesis.- Corpus and phonetic in speech technology.- Speech generation, speech analyzing and modelling.- Speech processing of ethnic minorities.- Speech emotion recognition.- Audio signal processing.