Noise Reduction in Automatic Detection of Hypernasality in Children

In this paper a methodology to reduce the background noise in a hypernasality detector system using spectral subtraction method is presented, some classical measures of quality and intelligibility are used to evaluate the speech enhancements algorithms used in the system. A linear classifier is used for the hypernasality detection and the results obtained with different spectral subtraction algorithms are compared. The results show that the spectral subtraction techniques can be used to improve the performance of the classifier in the detection of hypernasality when signals are contaminated with additive noise.

[1]  S. Godsill,et al.  Simple alternatives to the Ephraim and Malah suppression rule for speech enhancement , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

[2]  David Malah,et al.  Speech enhancement using a minimum mean-square error log-spectral amplitude estimator , 1984, IEEE Trans. Acoust. Speech Signal Process..

[3]  Israel Cohen,et al.  Speech enhancement using a noncausal a priori SNR estimator , 2004, IEEE Signal Processing Letters.

[4]  Pascal Scalart,et al.  Speech enhancement based on a priori signal to noise estimation , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[5]  Saeed V. Vaseghi,et al.  Advanced Digital Signal Processing and Noise Reduction , 2006 .

[6]  Jesús Francisco Vargas-Bonilla,et al.  Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection , 2011, INTERSPEECH.

[7]  Philipos C. Loizou,et al.  A multi-band spectral subtraction method for enhancing speech corrupted by colored noise , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  S. Boll,et al.  Suppression of acoustic noise in speech using spectral subtraction , 1979 .

[9]  Yi Hu,et al.  Evaluation of Objective Quality Measures for Speech Enhancement , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  Jesús Francisco Vargas-Bonilla,et al.  Automatic Detection of Hypernasality in Children , 2011, IWINAC.

[11]  Jacob Benesty,et al.  Speech Enhancement , 2010 .

[12]  Mahesh Chandra,et al.  Speech Enhancement Using MMSE Estimation and Spectral Subtraction Methods , 2011, 2011 International Conference on Devices and Communications (ICDeCom).

[13]  Philipos C. Loizou,et al.  Speech Enhancement: Theory and Practice , 2007 .

[14]  Olivier Cappé,et al.  Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor , 1994, IEEE Trans. Speech Audio Process..

[15]  Richard M. Schwartz,et al.  Enhancement of speech corrupted by acoustic noise , 1979, ICASSP.