Estimation of Severity of Speech Disability through Speech Envelope

In this paper, envelope detection of speech is discussed to distinguish the pathological cases of speech disabled children. The speech signal samples of children of age between five to eight years are considered for the present study. These speech signals are digitized and are used to determine the speech envelope. The envelope is subjected to ratio mean analysis to estimate the disability. This analysis is conducted on ten speech signal samples which are related to both place of articulation and manner of articulation. Overall speech disability of a pathological subject is estimated based on the results of above analysis.Comment: 8 pages,4 Figures,Signal & Image Processing Journal AIRC

Speech Disability Threshold Determination by Graphical and DSP Techniques

In this paper, an attempt is made to graphically distinguish the normal and pathological cases of speech disabled children. The digitized acoustic signal from children of age range 5 to 8 years are captured and subjected to Linear Predictive Coding (LPC), FFT and CEPSTRUM processes. The output data obtained from LPC, FFT and CEPSTRUM are analyzed for four cases viz, one normal and three pathological cases of varying degrees of severity. The usefulness of the proposed technique is further illustrated as the locations of poles are found to have shifted within the unit circle. The results are summarized in the form of three indices namely co-relation index of FFT signal, co-relation index of CEPSTRUM and the order of prediction in LPC for severity threshold determination. The results from FFT and CEPSTRUM are found to match with that of the LPC technique favorably