Description: Speech Recognition Using Articulatory and Excitation Source Features, Paperback by Rao, K. Sreenivasa; Manjunath K. E., ISBN 3319492195, ISBN-13 9783319492193, Like New Used, Free shipping in the US This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems.
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Book Title: Speech Recognition Using Articulatory and Excitation Source Featu
Number of Pages: Xi, 92 Pages
Language: English
Publication Name: Speech Recognition Using Articulatory and Excitation Source Features
Publisher: Springer International Publishing A&G
Subject: Signals & Signal Processing, Speech & Audio Processing, Linguistics / General
Publication Year: 2017
Type: Textbook
Item Weight: 60.2 Oz
Subject Area: Computers, Technology & Engineering, Language Arts & Disciplines
Item Length: 9.3 in
Author: K. Sreenivasa Rao, Manjunath K E
Item Width: 6.1 in
Series: Springerbriefs in Speech Technology Ser.
Format: Trade Paperback
