The applications of automatic speech recognition (ASR) systems are proliferating, in part
due to recent significant quality improvements. However, as recent work indicates, even …

Speech disfluencies, such as filled pauses or repetitions, are disruptions in the typical flow of
speech. All speakers experience disfluencies at times, and the rate at which we produce …

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

It is estimated that around 70 million people worldwide are affected by a speech disorder
called stuttering. With recent advances in Automatic Speech Recognition (ASR), voice …

Spontaneous speech often contains disfluent acoustic features such as fillers and
hesitations, which are major causes of errors during automatic speech recognition (ASR). In …

In this paper, we empirically investigate the influence of different factors on the performance
of dysfluency detection. Specifically, we examine the impact of data splits, data quality, and …

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 …

Spontaneous speech contains a significant amount of disfluencies and non-lexical sounds
(eg, backchannels, filled pauses), which are often difficult to transcribe. Disfluency labeling …

Disfluencies that appear in the transcriptions from automatic speech recognition systems
tend to impair the performance of downstream NLP tasks like machine translation …

Fluency is a metric that assesses how well a speaker communicates with another person
while presenting the information. Stuttering is one of the fluency problems that have a …