Advances in non-linear modeling for speech processing

Advances in Non-Linear Modeling for Speech Processing includes advanced topics in non-linear estimation and modeling techniques along with their applications to speaker recognition. Non-linear aeroacoustic modeling approach is used to estimate the important fine-structure speech events, which are no...

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Autori principali: Holambe, Raghunath S., Deshpande, Mangesh S. (Autore)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: New York, NY : Springer New York 2012.
Cham : Springer Nature
Serie:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
Accesso online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advances in Non-Linear Modeling for Speech Processing, Texte imprimé, 9781461415046
• Advances in Non-Linear Modeling for Speech Processing, Texte imprimé, 9781461415060
Sommario:
  • From the Contents: Speech production mechanism
  • Linear speech production model
  • Nonlinearity in speech production
  • Nonlinear dynamic system model
  • Speech perception mechanism
  • Summary
  • Autoregressive models
  • Linear autoregressive model
  • Nonlinear autoregressive model
  • Nonlinear measurement and modeling using Teager energy operator
  • Teager energy operator (TEO)
  • Vocal tract aeroacoustic flow
  • Energy measurement
  • Energy separation
  • Noise suppression using TEO.