Cantitate/Preț
Produs

Computational Bioacoustics: Biodiversity Monitoring and Assessment: Speech Technology and Text Mining in Medicine and Healthcare

Autor Todor Ganchev
en Electronic book text – 14 sep 2015
The book covers the fundamentals and applications of computational bioacoustics in monitoring and control applications in healthcare. The work provides a thorough discussion of cross-disciplinary research, including new engineering technology with a discussion of codes and demos illustrating the application of various audio parameterization and machine learning techniques on the task of automated recognition and monitoring.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Hardback (1) 50321 lei  6-8 săpt.
  De Gruyter – 14 oct 2016 50321 lei  6-8 săpt.
Electronic book text (2) 43493 lei  Precomandă
  De Gruyter – 14 sep 2015 43493 lei  Precomandă
  De Gruyter – 7 mai 2017 44504 lei  Precomandă

Din seria Speech Technology and Text Mining in Medicine and Healthcare

Preț: 43493 lei

Precomandă

Puncte Express: 652

Preț estimativ în valută:
7696 9025$ 6759£

Nepublicat încă

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781614516316
ISBN-10: 1614516316
Pagini: 266
Ilustrații: 100 schw.-w. u. 20 farb. Abb., 20 schw.-w. Tab.
Ediția:
Editura: De Gruyter
Seria Speech Technology and Text Mining in Medicine and Healthcare

Locul publicării:Berlin/Boston

Notă biografică

Todor Ganchev, Technical University,Varna, Bulgaria

Cuprins


Descriere

Descriere de la o altă ediție sau format:
  • Latest advances in signal processing and machine learning methods for speech and audio processing.
  • Coverage of various methods and techniques for measuring and calibrating auditory communication.
  • Includes technology, methods and good practices in computational bioacoustics.
The book covers the fundamentals and applications of computational bioacoustics in monitoring and control applications.  The work provides a thorough discussion of cross-disciplinary research, including new engineering technology with a discussion of codes and demos illustrating the application of various audio parameterization and machine learning techniques on the task of automated recognition and monitoring.  The concepts can be used in monitoring of healthcare patients, but can also be used in broader biodiversity monitoring and assessment.