title: Voice activity detection algorithm using perceptual wavelet entropy neighbor slope.
abstract: This paper presents a voice activity detection (VAD) approach using a perceptual wavelet entropy neighbor slope (PWENS) in a low signal-to-noise (SNR) environment and with a variety of noise types. The basis for our study is to use acoustic features that have large entropy variance for each wavelet critical band. The speech signal is decomposed by the proposed perceptual wavelet packet decomposition (PWPD), and the VAD function is extracted by PWENS. Finally, VAD is decided by the proposed VAD decision rule using two memory buffers. In order to evaluate the performance of the VAD decision, many speech samples and a variety of SNR conditions were used in the experiment. The performance of the VAD decision is confirmed using objective indexes such as a graph of the VAD decision and the relative error rate.
authors.affiliation: Department of Medical & Biological Engineering, Graduate School, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu 700-842, Korea.
authors.forename: Gihyoun
authors.initials: G
authors.lastname: Lee
authors.affiliation: Department of Medical & Biological Engineering, Graduate School, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu 700-842, Korea.
authors.forename: Sung Dae
authors.initials: SD
authors.lastname: Na
authors.affiliation: School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu 700-842, Korea.
authors.forename: Jin-Ho
authors.initials: JH
authors.lastname: Cho
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu 700-842, Korea.
authors.forename: Myoung Nam
authors.initials: MN
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013018:Sound Spectrography / Q000379:methods*; D013068:Speech Production Measurement / Q000379:methods*; D058067:Wavelet Analysis
keywords: Voice activity detection; entropy; neighbor slope; wavelet decomposition; wavelet transform