Dysfluent speech detection is the bottleneck for disordered speech analysis and spoken
language learning. Current state-of-the-art models are governed by rule-based systems …

Dysfluent speech modeling requires time-accurate and silence-aware transcription at both
the word-level and phonetic-level. However, current research in dysfluency modeling …

Speech-language pathologists, traditionally, count the number of speech dysfluencies to
measure the rate of stuttering severity. Subjective stuttering assessment is time consuming …

The work presents a contemporary perspective of the field of dysfluent speech processing. It
deals with suitable approaches of computational intelligence for speech analysis. It presents …

Objectives: This paper is an attempt to compare the work done around the world for
development of stuttered speech database and approaches for analysis of stuttered speech …

Speech disorders are neurodevelopmental disorders such as Stuttering, Dysarthria,
Dysphonia and Aphasia associated with left inferior frontal structural anomalies that involve …

Stuttering is a motor-speech disorder, having common features with other motor control
disorders such as dystonia, Parkinson’ s disease and Tourette’ s syndrome …

Dysfluencies are common in spontaneous speech, but these types of events are laborious to
recognize by methods used in speech recognition technologies. Speech recognition …

Stuttered speech is a dysfluency rich speech, more prevalent in males than females. It has
been associated with insufficient air pressure or poor articulation, even though the root …

Stuttering in speech is a speech disorder where normal flow of Speech is disrupted by
occurrences of dysfluencies, such as repetitions, interjections, prolongations and so on …