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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Speech Recognition Using Articulatory and Excitation Source Features

Speech Recognition Using Articulatory and Excitation Source Features

Rao, K. Sreenivasa
K. E., Manjunath

Paperback

Series: Springerbriefs in Speech Technology

LinguisticsTechnology & EngineeringGeneral Computers

ISBN10: 3319492195
ISBN13: 9783319492193
Publisher: Springer Nature
Published: Jan 18 2017
Pages: 92
Weight: 0.35
Height: 0.22 Width: 6.14 Depth: 9.21
Language: English
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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