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Towards Automated Assessment of Stuttering and Stuttering Therapy

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Document pages: 10 pages

Abstract: Stuttering is a complex speech disorder that can be identified byrepetitions, prolongations of sounds, syllables or words, and blocks whilespeaking. Severity assessment is usually done by a speech therapist. Whileattempts at automated assessment were made, it is rarely used in therapy.Common methods for the assessment of stuttering severity include percentstuttered syllables ( SS), the average of the three longest stutteringsymptoms during a speech task, or the recently introduced Speech EfficiencyScore (SES). This paper introduces the Speech Control Index (SCI), a new methodto evaluate the severity of stuttering. Unlike SES, it can also be used toassess therapy success for fluency shaping. We evaluate both SES and SCI on anew comprehensively labeled dataset containing stuttered German speech ofclients prior to, during, and after undergoing stuttering therapy. Phonealignments of an automatic speech recognition system are statisticallyevaluated in relation to their relative position to labeled stuttering events.The results indicate that phone length distributions differ with respect totheir position in and around labeled stuttering events

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