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Proakis, J. G. and Manolakis, D. G. (2000) Digital Signal Processing, Prentice-Hall of India, New Delhi.

has been cited by the following article:

• TITLE: Cepstral and linear prediction techniques for improving intelligibility and audibility of impaired speech

  AUTHORS: G. Ravindran, S. Shenbagadevi, V. Salai Selvam

  KEYWORDS: Impaired Speech; Speech Disability; Cepstrum; LPC; Vocal Tract

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.3 No.1, January 12, 2010

  ABSTRACT: Human speech becomes impaired i.e., unintelligible due to a variety of reasons that can be either neurological or anatomical. The objective of the research was to improve the intelligibility and audibility of the impaired speech that resulted from a disabled human speech mechanism with impairment in the acoustic system-the supra-laryngeal vocal tract. For this purpose three methods are presented in this paper. Method 1 was to develop an inverse model of the speech degradation using the Cepstral technique. Method 2 was to replace the degraded vocal tract response by a normal vocal tract response using the Cepstral technique. Method 3 was to replace the degraded vocal tract response by a normal vocal tract response using the Linear Prediction technique.