PURPOSE To correlate speech rate and speech disruptions in individuals who clutter, and to compare with individuals who do not clutter. METHODS Participants were 14 individuals with ages between 8 and 40 years and 11 months, of both genders, divided into two groups paired by age and gender. GI was composed by seven individuals who clutter, and GII by seven individuals who do not clutter. The ...

Stuttering is a speech disorder characterized by certain types of speech disfluencies, such as sound repetitions, which are frequent enough to be disruptive. Speech therapists frequently use manual counts of these speech disfluencies to diagnose whether a child stutters and to track improvement through a treatment program. However, these counts are subjective, inconsistent, and prone to error. ...

UNLABELLED In their Covert Repair Hypothesis, Postma and Kolk (1993) suggest that people who stutter make greater numbers of phonological encoding errors, which are detected during the monitoring of inner speech and repaired, with stuttering-like disfluencies as a consequence. Here, we report an experiment that documents the frequency with which such errors are made. Thirty-two people who stutt...

While speech disfluencies are commonly found in every speaker’s speech, stuttering is a language disorder characterized by an abnormally high rate of speech aberrations, including prolongation, cessation, and repetition of speech segments [5]. However, despite the obvious differences between stuttered and normal speech, identifying the crucial qualities that identify stuttered speech remains a ...

Unrehearsed spoken language often contains many disfluencies. If we want to correctly interpret the content of spoken language, we need to be able to detect these disfluencies and deal with them appropriately. In the work described here, we use a statistical noisy channel model to detect disfluencies in transcripts of spoken language. Like all statistical approaches, this is naturally very data...

Two visual-world eye-tracking experiments investigated the role of prediction in the processing of repair disfluencies (e.g., "The chef reached for some salt uh I mean some ketchup . . ."). Experiment 1 showed that listeners were more likely to fixate a critical distractor item (e.g., pepper) during the processing of repair disfluencies compared with the processing of coordination structures (e...

Building on psychologists' observations that individuals with Social Anxiety Disorder (SAD) speak slower and more quietly, this study examines to what extent the characteristics of hesitation disfluencies and silent pauses distinguish between SAD and control participants. Participants responded verbally to six identical questions, and their responses were recorded and analyzed. Our first observ...

In this paper we propose a multi-step system for the semiautomatic detection and annotation of disfluencies in spoken corpora. A set of rules, statistical models and machine learning techniques are applied to the input, which is a transcription aligned to the speech signal. The system uses the results of an automatic estimation of prosodic, part-of-speech and shallow syntactic features. We pres...

Nowadays, automatic speech recognizers have become quite good in recognizing well prepared fluent speech (e.g. news readings). However, the recognition of spontaneous speech is still problematic. Some important reasons for this are that spontaneous speech is usually less articulated and contains a lot of disfluencies. In this paper, a new methodology for coping with disfluencies is presented an...

Disfluencies in speech pose severe difficulties in machine translation of spontaneous speech. This paper presents our conditional random field (CRF)-based speech disfluency detection system developed on German to improve spoken language translation performance. In order to detect speech disfluencies considering syntactics and semantics of speech utterances, we carried out a CRF-based approach u...