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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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Holambe, Raghunath S. (Auteur), Deshpande, Mangesh S. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2012.
Édition:1st ed. 2012.
Collection:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Sujets:
Signal processing.
Natural language processing (Computer science).
Artificial intelligence.
Signal, Speech and Image Processing .
Natural Language Processing (NLP).
Artificial Intelligence.
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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