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Stutter Diagnosis and Therapy System Based on Deep Learning

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Document pages: 8 pages

Abstract: Stuttering, also called stammering, is a communication disorder that breaksthe continuity of the speech. This program of work is an attempt to developautomatic recognition procedures to assess stuttered dysfluencies and use theseassessments to filter out speech therapies for an individual. Stuttering may bein the form of repetitions, prolongations or abnormal stoppages of sounds andsyllables. Our system aims to help stutterers by diagnosing the severity andtype of stutter and also by suggesting appropriate therapies for practice bylearning the correlation between stutter descriptors and the effectiveness ofspeech therapies on them. This paper focuses on the implementation of a stutterdiagnosis agent using Gated Recurrent CNN on MFCC audio features and therapyrecommendation agent using SVM. It also presents the results obtained andvarious key findings of the system developed.

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