Methods that can generate synthetic speech which is perceptually indistinguishable from
speech recorded by a human speaker are easily available. Several incidents report misuse …

Stuttering is a varied speech disorder that harms an individual's communication ability.
Persons who stutter (PWS) often use speech therapy to cope with their condition. Improving …

Abstract The ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE)
featured a sub-challenge on the classification of stuttering in order to bring attention to this …

Accurately detecting dysfluencies in spoken language can help to improve the performance
of automatic speech and language processing components and support the development of …

Speech disfluency research is pivotal to accommodating atypical speakers in mainstream
conversational technology. However, the lack of publicly available labeled and unlabeled …

The rapid advancements in speech technologies over the past two decades have led to
human-level performance in tasks like automatic speech recognition (ASR) for fluent …

Most stuttering detection and classification research has viewed stuttering as a multi-class
classification problem or a binary detection task for each dysfluency type; however, this does …

Featured Application The present investigation shows a methodology that can support a
speech therapist by automatically classifying various types of speech disorders. Abstract …

In recent years, advancements in the field of speech processing have led to cutting-edge
deep learning algorithms with immense potential for real-world applications. The automated …

Speech is critical for interpersonal communication, but not everyone has fluent
communication skills. Speech disfluency, including stuttering and interruptions, affects not …