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Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Speech Technology) by K. Sreenivasa Rao, Manjunath K E (auth.) is a nonfiction available to read on EtoBox.

What is Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Speech Technology) about?

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. Erscheinungsdatum: 18.01.2017

Who reads Speech Recognition Using Articulatory and Excitation Source Features (SpringerBriefs in Speech Technology)?

Author

K. Sreenivasa Rao, Manjunath K E (auth.)

Publisher

Springer International Publishing Imprint : Springer

Published

2017

Language

EN

ISBN

9783319492193

Category

nonfiction

Subjects

Linguistics, Engineering, Computer Science