Three experiments investigated listeners' ability to detect disfluency in spontaneous speech. All employed gated word recognition with judgments of disfluency for spontaneous utterances containing disfluencies and for three kinds of fluent control utterances from the same six speakers: repetitions of corrected recordings of original disfluent items, spontaneous fluent utterances loosely matched in structure to the disfluent items, and repetitions of those spontaneous fluent items. In Experiment 1, 120 stimuli were word-level gated and presented to 20 subjects for word identification and for judgments on whether the utterance was about to become disfluent. Listeners were unable to predict disfluency reliably. New subjects (N=20, 43) judged w...
Disfluency is a characteristic feature of spontaneous human speech, commonly seen as a consequence o...
Disfluency is a characteristic feature of spontaneous human speech, commonly seen as a consequence o...
In automatic speech recognition, a stochastic language model (LM) predicts the probability of the ne...
Three experiments investigated listeners' ability to detect disfluency in spontaneous speech. All em...
This paper describes a study in which we compare human and automatic recognition of words in fluent ...
In this talk I would like to present results from (on-going) eye-tracking experiments, using the Vis...
In this talk I would like to present results from (on-going) eye-tracking experiments, using the Vis...
The subjects were 59 college adults who spoke spontaneously from a set of stimulus words for 36 minu...
The effect of disfluencies on listeners’ judgements of the confidence and correctness of a speaker w...
Disfluencies (such as uh and uhm) are a common phenomenon in spontaneous speech. Rather than filteri...
Disfluencies (such as uh and uhm) are a common phenomenon in spontaneous speech. Rather than filteri...
Disfluencies (such as uh and uhm) are a common phenomenon in spontaneous speech. Rather than filteri...
A speaker’s disfluencies (such as ums and ers) have effects on a listener’s immediate understanding ...
In automatic speech recognition, a statistical language model (LM) predicts the probability of the n...
Much research has been conducted into the ways that listeners make use of disfluencies in a speech s...
Disfluency is a characteristic feature of spontaneous human speech, commonly seen as a consequence o...
Disfluency is a characteristic feature of spontaneous human speech, commonly seen as a consequence o...
In automatic speech recognition, a stochastic language model (LM) predicts the probability of the ne...
Three experiments investigated listeners' ability to detect disfluency in spontaneous speech. All em...
This paper describes a study in which we compare human and automatic recognition of words in fluent ...
In this talk I would like to present results from (on-going) eye-tracking experiments, using the Vis...
In this talk I would like to present results from (on-going) eye-tracking experiments, using the Vis...
The subjects were 59 college adults who spoke spontaneously from a set of stimulus words for 36 minu...
The effect of disfluencies on listeners’ judgements of the confidence and correctness of a speaker w...
Disfluencies (such as uh and uhm) are a common phenomenon in spontaneous speech. Rather than filteri...
Disfluencies (such as uh and uhm) are a common phenomenon in spontaneous speech. Rather than filteri...
Disfluencies (such as uh and uhm) are a common phenomenon in spontaneous speech. Rather than filteri...
A speaker’s disfluencies (such as ums and ers) have effects on a listener’s immediate understanding ...
In automatic speech recognition, a statistical language model (LM) predicts the probability of the n...
Much research has been conducted into the ways that listeners make use of disfluencies in a speech s...
Disfluency is a characteristic feature of spontaneous human speech, commonly seen as a consequence o...
Disfluency is a characteristic feature of spontaneous human speech, commonly seen as a consequence o...
In automatic speech recognition, a stochastic language model (LM) predicts the probability of the ne...