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...
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IFSA Publishing, S.L.
2009-08-01
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doaj-5a3a74b116054df988af35b17aef93ca2020-11-25T01:51:10ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792009-08-011078157164Speech Disability Threshold Determination by Graphical and DSP TechniquesAnandthirtha. B. GUDI0H. C. Nagaraj1Department of Electronics and Communication Engineering, Sri Bhagawan Mahaveer Jain College of Engineering (SBMJCE), Bangalore-562112, Karnataka, IndiaDepartment of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology (NMIT), Yelahanka, Bangalore-560064, Karnataka, IndiaIn 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. http://www.sensorsportal.com/HTML/DIGEST/august_09/P_484.pdfCEPSTRUMCorrelationFFTLinear predictive coding and speech disability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anandthirtha. B. GUDI H. C. Nagaraj |
spellingShingle |
Anandthirtha. B. GUDI H. C. Nagaraj Speech Disability Threshold Determination by Graphical and DSP Techniques Sensors & Transducers CEPSTRUM Correlation FFT Linear predictive coding and speech disability |
author_facet |
Anandthirtha. B. GUDI H. C. Nagaraj |
author_sort |
Anandthirtha. B. GUDI |
title |
Speech Disability Threshold Determination by Graphical and DSP Techniques |
title_short |
Speech Disability Threshold Determination by Graphical and DSP Techniques |
title_full |
Speech Disability Threshold Determination by Graphical and DSP Techniques |
title_fullStr |
Speech Disability Threshold Determination by Graphical and DSP Techniques |
title_full_unstemmed |
Speech Disability Threshold Determination by Graphical and DSP Techniques |
title_sort |
speech disability threshold determination by graphical and dsp techniques |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2009-08-01 |
description |
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.
|
topic |
CEPSTRUM Correlation FFT Linear predictive coding and speech disability |
url |
http://www.sensorsportal.com/HTML/DIGEST/august_09/P_484.pdf |
work_keys_str_mv |
AT anandthirthabgudi speechdisabilitythresholddeterminationbygraphicalanddsptechniques AT hcnagaraj speechdisabilitythresholddeterminationbygraphicalanddsptechniques |
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1724998149885394944 |