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초록
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.
키워드
voice activity detection; neural network; elliptical basis function; linear prediction coefficients; Algorithms; Bit error rate; Networks (circuits); Neural networks; Speech recognition; Waveform analysis
- 제목
- Applying elliptical basis function neural networks to VAD for wireless communication systems
- 저자
- Lee, Hosun; Kimi, Sukyung; Park, Sung kwon
- 발행일
- 2006-04
- 유형
- Article
- 권
- E89B
- 호
- 4
- 페이지
- 1423 ~ 1424