Robust Digital Processing of Speech Signals (PDF)
(Sprache: Englisch)
This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the...
sofort als Download lieferbar
Printausgabe 109.99 €
eBook (pdf) -10%
98.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Robust Digital Processing of Speech Signals (PDF)“
This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in "online" mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors' research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.
Bibliographische Angaben
- Autoren: Branko Kovacevic , Milan M. Milosavljevic , Mladen Veinovic , Milan Markovic
- 2017, 1st ed. 2017, 224 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319536133
- ISBN-13: 9783319536132
- Erscheinungsdatum: 06.06.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 5.05 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Robust Digital Processing of Speech Signals"
Schreiben Sie einen Kommentar zu "Robust Digital Processing of Speech Signals".
Kommentar verfassen