Speech Recognition Using Articulatory and Excitation Source Features is popular PDF and ePub book, written by K. Sreenivasa Rao in 2017-01-11, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Speech Recognition Using Articulatory and Excitation Source Features can be Read Online from any device for your convenience.
Speech Recognition Using Articulatory and Excitation Source Features Book PDF Summary
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.
Detail Book of Speech Recognition Using Articulatory and Excitation Source Features PDF
- Author : K. Sreenivasa Rao
- Release : 11 January 2017
- Publisher : Springer
- ISBN : 9783319492209
- Genre : Technology & Engineering
- Total Page : 92 pages
- Language : English
- PDF File Size : 13,7 Mb
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