Relevance of time–frequency features for phonetic and speaker-channel classification

Barrows, G., Sciortino, J., 1996. A mutual information measure for feature selection with application to pulse classification. In: IEEE International Symposium on Time–Frequency and Time-Scale Analysis, pp. 249–253

Battiti, 1994, Using mutual information for selecting features in supervised neural net learning, IEEE Transactions on Neural Networks, 5, 537, 10.1109/72.298224

Bilmes, J., 1998. Maximum mutual information based reduction strategies for cross-correlation based joint distribution modeling. In: ICASSP98, pp. 469–472

Bonnlander, B., 1996. Nonparametric selection of input variables for connectionist learning. Technical report. PhD Thesis. University of Colorado

Cole, R., Fanty, M., Noel, M., Lander, T., 1994. Telephone speech corpus development at CSLU. In: ICSLP, Yokohama, pp. 1815–1818

Cover, 1991

Hermansky, 1990, Perceptual linear predictive PLP analysis of speech, J. Acoust. Soc. Amer., 87, 1738, 10.1121/1.399423

Hermansky, 1998, Should recognizers have ears?, Speech Communication, 25, 3, 10.1016/S0167-6393(98)00027-2

Morris, 1993, An information theoretical investigation into the distribution of phonetic information across the auditory spectrogram, Comput. Speech Language, 7, 121, 10.1006/csla.1993.1006

Stuart, A., Ord, J.K., 1994. Kendall's Advanced Theory of Statistics. Edward Arnold, Paris

Venables, 1994

Yang, H., Moody, J., 1999. Feature selection based on joint mutual information. In: Advances in Intelligent Data Analysis (AIDA), Computational Intelligence Methods and Applications (CIMA), International Computer Science Conventions, Rochester, NY

Yang, H., van Vuuren, S., Hermansky, H., 1999. Relevancy of time–frequency features for phonetic classification measured by mutual information. In: ICASSP'99, Phoenix, pp. I:225–228

Yang, H., Moody, J., 2000. Data visualization and feature selection: New algorithms for nongaussian data. In: Advances in Neural Information Processing Systems, Vol. 12