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Applying elliptical basis function neural networks to VAD for wireless communication systems
- Authors
- Lee, Hosun; Kimi, Sukyung; Park, Sung kwon
- Issue Date
- Apr-2006
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- voice activity detection; neural network; elliptical basis function; linear prediction coefficients
- Citation
- IEICE TRANSACTIONS ON COMMUNICATIONS, v.E89B, no.4, pp.1423 - 1424
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEICE TRANSACTIONS ON COMMUNICATIONS
- Volume
- E89B
- Number
- 4
- Start Page
- 1423
- End Page
- 1424
- ISSN
- 0916-8516
- Abstract
- Voice activity detection (VAD) determines whether a slice of waveform is voice or silence. The proposed VAD algorithm applying Elliptical Basis Function (EBF) neural networks uses k-means clustering and least mean square for the update algorithm. The error rates achieved by the EBF network have superior performance to those of G.729 Annex B and RBF.
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Related Researcher
- Park, Sung kwon
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)