A novel voice activity detection based on phoneme recognition using statistical model
暂无分享,去创建一个
[1] I. Cohen,et al. Noise estimation by minima controlled recursive averaging for robust speech enhancement , 2002, IEEE Signal Processing Letters.
[2] Steve Young,et al. The HTK book , 1995 .
[3] Bing Chen,et al. Implementing VoIP: a voice transmission performance progress report , 2004, IEEE Communications Magazine.
[4] Wonyong Sung,et al. A statistical model-based voice activity detection , 1999, IEEE Signal Processing Letters.
[5] Masakiyo Fujimoto,et al. A voice activity detection based on the adaptive integration of multiple speech features and a signal decision scheme , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[6] Tetsuya Ogata,et al. Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[7] Jen-Tzung Chien,et al. Factor Analyzed Subspace Modeling and Selection , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[8] Masakiyo Fujimoto,et al. Noise robust voice activity detection based on periodic to aperiodic component ratio , 2010, Speech Commun..
[9] Ahmet M. Kondoz,et al. Improved voice activity detection based on a smoothed statistical likelihood ratio , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[10] Masakiyo Fujimoto,et al. Noise Robust Voice Activity Detection Based on Statistical Model and Parallel Non-Linear Kalman Filtering , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[11] Chip-Hong Chang,et al. A Generalized Time–Frequency Subtraction Method for Robust Speech Enhancement Based on Wavelet Filter Banks Modeling of Human Auditory System , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[12] Juan Manuel Górriz,et al. Jointly Gaussian PDF-Based Likelihood Ratio Test for Voice Activity Detection , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[13] M.N.S. Swamy,et al. An improved voice activity detection using higher order statistics , 2005, IEEE Transactions on Speech and Audio Processing.
[14] Petros Maragos,et al. Multiband Modulation Energy Tracking for Noisy Speech Detection , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[15] Chonggang Wang,et al. Voice communications over zigbee networks , 2008, IEEE Communications Magazine.
[16] Climent Nadeu,et al. Robust speech activity detection using LDA applied to FF parameters , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[17] Kostas Plataniotis. Message From the New Editor-In-Chief , 2009 .
[18] A. Sayadian,et al. Voice Activity Detection Using Entropy in Spectrum Domain , 2008, 2008 Australasian Telecommunication Networks and Applications Conference.
[19] Juan Manuel Górriz,et al. Improved Voice Activity Detection Using Contextual Multiple Hypothesis Testing for Robust Speech Recognition , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[20] Abeer Alwan,et al. Voice activity detection using harmonic frequency components in likelihood ratio test , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[21] Haihua Xu,et al. An efficient multistage Rover method for Automatic Speech recognition , 2009, 2009 IEEE International Conference on Multimedia and Expo.
[22] Masafumi Nishimura,et al. Improved voice activity detection using static harmonic features , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[23] Rafik A. Goubran,et al. Robust voice activity detection using higher-order statistics in the LPC residual domain , 2001, IEEE Trans. Speech Audio Process..