An Adaptive Wavelet-Based Denoising Algorithm for Enhancing Speech in Non-stationary Noise Environment
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[1] Masakiyo Fujimoto,et al. Study of integration of statistical model-based voice activity detection and noise suppression , 2008, INTERSPEECH.
[2] R. Tucker,et al. Voice activity detection using a periodicity measure , 1992 .
[3] Allen Gersho,et al. Adaptive postfiltering for quality enhancement of coded speech , 1995, IEEE Trans. Speech Audio Process..
[4] Jhing-Fa Wang,et al. Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator , 2004, J. VLSI Signal Process..
[5] Lawrence R. Rabiner,et al. Voiced-unvoiced-silence detection using the Itakura LPC distance measure , 1977 .
[6] Ingrid Daubechies,et al. The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.
[7] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[8] Rafik A. Goubran,et al. Robust voice activity detection using higher-order statistics in the LPC residual domain , 2001, IEEE Trans. Speech Audio Process..
[9] Harry Wechsler,et al. Detection of human speech in structured noise , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[10] J. Rouat,et al. Wavelet speech enhancement based on the Teager energy operator , 2001, IEEE Signal Processing Letters.
[11] Sheau-Fang Lei,et al. Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation , 2005, 2005 International Symposium on Intelligent Signal Processing and Communication Systems.
[12] David Malah,et al. Speech enhancement using a minimum mean-square error log-spectral amplitude estimator , 1984, IEEE Trans. Acoust. Speech Signal Process..
[13] Yi Hu,et al. Speech enhancement based on wavelet thresholding the multitaper spectrum , 2004, IEEE Transactions on Speech and Audio Processing.
[14] Jeih-Weih Hung,et al. Robust entropy-based endpoint detection for speech recognition in noisy environments , 1998, ICSLP.
[15] Eliathamby Ambikairajah,et al. Adaptive noise estimation algorithm for speech enhancement , 2003 .
[16] S. Boll,et al. Suppression of acoustic noise in speech using spectral subtraction , 1979 .
[17] John Mason,et al. Robust voice activity detection using cepstral features , 1993, Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation.
[18] Nathalie Virag,et al. Single channel speech enhancement based on masking properties of the human auditory system , 1999, IEEE Trans. Speech Audio Process..
[19] I. Johnstone,et al. Wavelet Threshold Estimators for Data with Correlated Noise , 1997 .
[20] Stéphane Mallat,et al. Multifrequency channel decompositions of images and wavelet models , 1989, IEEE Trans. Acoust. Speech Signal Process..
[21] Biing-Hwang Juang,et al. Recent developments in speech recognition under adverse conditions , 1990, ICSLP.
[22] Hugo Fastl,et al. Psychoacoustics: Facts and Models , 1990 .
[23] Andrzej Drygajlo,et al. Perceptual speech coding and enhancement using frame-synchronized fast wavelet packet transform algorithms , 1999, IEEE Trans. Signal Process..
[24] John H. L. Hansen,et al. Discrete-Time Processing of Speech Signals , 1993 .
[25] I. Johnstone,et al. Ideal spatial adaptation by wavelet shrinkage , 1994 .
[26] Herman J. M. Steeneken,et al. Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems , 1993, Speech Commun..
[27] David L. Donoho,et al. De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.