DIAGNOSING VOICE DISORDERS IN CHILDREN WITH COCHLEAR IMPLANTATION AND HEARING AIDS USING ARTIFICIAL INTELLIGENCE SYSTEMS

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MAHMOUDI ZEINAB; RAHATI SAID; GHASEMI MOHAMMAD MEHDI; RAJATI MOHSEN; ASADPOUR VAHID; TAYARANI HAMID

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Journal: JOURNAL OF MEDICAL SCIENCE OF ISLAMIC AZAD UNIVERSITY OF MASHHAD Year:2009 | Volume:5 | Issue:2 (18) Page(s): 67-78

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Title

DIAGNOSING VOICE DISORDERS IN CHILDREN WITH COCHLEAR IMPLANTATION AND HEARING AIDS USING ARTIFICIAL INTELLIGENCE SYSTEMS

Author(s)

Keywords

VOICE ABNORMALITIESQ3

CHILDREN WITH COCHLEAR IMPLANTQ3

HEARING AIDQ3

FREQUENCY FEATURES OF VOICEQ3

NONLINEAR FEATURES OF VOICEQ3

ARTIFICIAL DECISION MAKING SYSTEMSQ3

Abstract

Introduction: The purpose of this study is to quantify the voice disorders in CHILDREN WITH COCHLEAR IMPLANTation and HEARING AIDs. Until now, quantifying voice disorders has been done subjectively by speech experts and it is for the first time that the preset study tends to run an objective experiment using signal processing features. Materials and Methods: 4 levels were considered to be qualify speech. Linear and nonlinear features were extracted from 5 Farsi words: “mashin”, “mar”, “moosh”, “gav” and “mowz” uttered by 30 subjects and then put into hidden Markov classifiers. Classifier outputs then were fused together to have better accuracy. The main hypothesis of the study is to answer this question: Can we separate children into 4 levels based on their voice features? Voice features including “fundamental frequency, first formant, second formant, third formant, first to second formant ratio, third to second formant ratio, Rational Intensity, nasality, approximate entropy and fractal dimension were extracted from speech segments and then are were given to ARTIFICIAL DECISION MAKING SYSTEMS (classifiers).Results: The results show that classifiers can separate 4 levels of voice disorders with the accuracy of 93.1%. Among the introduced features, first to second formant ratio and third to second formant ratio can be used directly to track voice recovery after using cochlear implantation or HEARING AID.Conclusion: The output of this research study can act as a speaker independent system to help speech specialists with evaluating voice disorder recovery in children who fall in the same range of age.

Cites

COMPARING AUDITORY PERCEPTION IN CHILDREN WITH COCHLEAR IMPLANT, HEARING AIDS AND NORMAL HEARING

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APA: Copy

MAHMOUDI, ZEINAB, RAHATI, SAID, GHASEMI, MOHAMMAD MEHDI, RAJATI, MOHSEN, ASADPOUR, VAHID, & TAYARANI, HAMID. (2009). DIAGNOSING VOICE DISORDERS IN CHILDREN WITH COCHLEAR IMPLANTATION AND HEARING AIDS USING ARTIFICIAL INTELLIGENCE SYSTEMS. JOURNAL OF MEDICAL SCIENCE OF ISLAMIC AZAD UNIVERSITY OF MASHHAD, 5(2 (18)), 67-78. SID. https://sid.ir/paper/194288/en

Vancouver: Copy

MAHMOUDI ZEINAB, RAHATI SAID, GHASEMI MOHAMMAD MEHDI, RAJATI MOHSEN, ASADPOUR VAHID, TAYARANI HAMID. DIAGNOSING VOICE DISORDERS IN CHILDREN WITH COCHLEAR IMPLANTATION AND HEARING AIDS USING ARTIFICIAL INTELLIGENCE SYSTEMS. JOURNAL OF MEDICAL SCIENCE OF ISLAMIC AZAD UNIVERSITY OF MASHHAD[Internet]. 2009;5(2 (18)):67-78. Available from: https://sid.ir/paper/194288/en

IEEE: Copy

ZEINAB MAHMOUDI, SAID RAHATI, MOHAMMAD MEHDI GHASEMI, MOHSEN RAJATI, VAHID ASADPOUR, and HAMID TAYARANI, “DIAGNOSING VOICE DISORDERS IN CHILDREN WITH COCHLEAR IMPLANTATION AND HEARING AIDS USING ARTIFICIAL INTELLIGENCE SYSTEMS,” JOURNAL OF MEDICAL SCIENCE OF ISLAMIC AZAD UNIVERSITY OF MASHHAD, vol. 5, no. 2 (18), pp. 67–78, 2009, [Online]. Available: https://sid.ir/paper/194288/en

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