Automatic speech recognition (ASR) is one of the ways used to transform acoustic speech
signals into text. Over the last few decades, an enormous amount of research work has been …

The ability to automatically detect stuttering events in speech could help speech pathologists
track an individual's fluency over time or help improve speech recognition systems for …

Consumer speech recognition systems do not work as well for many people with speech
differences, such as stuttering, relative to the rest of the general population. However, what …

Stuttering is a complex speech disorder that negatively affects an individual's ability to
communicate effectively. Persons who stutter (PWS) often suffer considerably under the …

This work studies the experiences of people who stutter (PWS) with videoconferencing (VC)
and VC technologies. Our interview study with 13 adults who stutter uncovers extra …

Dysfluencies and variations in speech pronunciation can severely degrade speech
recognition performance, and for many individuals with moderate-to-severe speech …

Speech dysfluency modeling is the core module for spoken language learning, and speech
therapy. However, there are three challenges. First, current state-of-the-art solutions\cite …

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

Stuttering is a speech disorder that, if treated during childhood, may be prevented from
persisting into adolescence. A clinician must first determine the severity of stuttering …

Previous studies on the detection of stuttered speech have focused on classification at the
utterance level (eg, for speech therapy applications), and on the correct insertion of stutter …