Evidence of cue use and performance differences in deciphering dysarthric speech.
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ABSTRACT:
SUBMITTER: Choe YK
PROVIDER: S-EPMC3267784 | biostudies-other | 2012 Feb
REPOSITORIES: biostudies-other
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Project description:Two artificial-language learning experiments directly compared English, French, and Dutch listeners' use of suprasegmental cues for continuous-speech segmentation. In both experiments, listeners heard unbroken sequences of consonant-vowel syllables, composed of recurring three- and four-syllable "words." These words were demarcated by (a) no cue other than transitional probabilities induced by their recurrence, (b) a consistent left-edge cue, or (c) a consistent right-edge cue. Experiment 1 examined a vowel lengthening cue. All three listener groups benefited from this cue in right-edge position; none benefited from it in left-edge position. Experiment 2 examined a pitch-movement cue. English listeners used this cue in left-edge position, French listeners used it in right-edge position, and Dutch listeners used it in both positions. These findings are interpreted as evidence of both language-universal and language-specific effects. Final lengthening is a language-universal effect expressing a more general (non-linguistic) mechanism. Pitch movement expresses prominence which has characteristically different placements across languages: typically at right edges in French, but at left edges in English and Dutch. Finally, stress realization in English versus Dutch encourages greater attention to suprasegmental variation by Dutch than by English listeners, allowing Dutch listeners to benefit from an informative pitch-movement cue even in an uncharacteristic position.
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Project description:Listeners are able to accurately recognize speech despite variation in acoustic cues across contexts, such as different speaking rates. Previous work has suggested that listeners use rate information (indicated by vowel length; VL) to modify their use of context-dependent acoustic cues, like voice-onset time (VOT), a primary cue to voicing. We present several experiments and simulations that offer an alternative explanation: that listeners treat VL as a phonetic cue rather than as an indicator of speaking rate, and that they rely on general cue-integration principles to combine information from VOT and VL. We demonstrate that listeners use the two cues independently, that VL is used in both naturally produced and synthetic speech, and that the effects of stimulus naturalness can be explained by a cue-integration model. Together, these results suggest that listeners do not interpret VOT relative to rate information provided by VL and that the effects of speaking rate can be explained by more general cue-integration principles.
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Project description:BackgroundDifferent sources of sensory information can interact, often shaping what we think we have seen or heard. This can enhance the precision of perceptual decisions relative to those made on the basis of a single source of information. From a computational perspective, there are multiple reasons why this might happen, and each predicts a different degree of enhanced precision. Relatively slight improvements can arise when perceptual decisions are made on the basis of multiple independent sensory estimates, as opposed to just one. These improvements can arise as a consequence of probability summation. Greater improvements can occur if two initially independent estimates are summated to form a single integrated code, especially if the summation is weighted in accordance with the variance associated with each independent estimate. This form of combination is often described as a Bayesian maximum likelihood estimate. Still greater improvements are possible if the two sources of information are encoded via a common physiological process.Principal findingsHere we show that the provision of simultaneous audio and visual speech cues can result in substantial sensitivity improvements, relative to single sensory modality based decisions. The magnitude of the improvements is greater than can be predicted on the basis of either a Bayesian maximum likelihood estimate or a probability summation.ConclusionOur data suggest that primary estimates of speech content are determined by a physiological process that takes input from both visual and auditory processing, resulting in greater sensitivity than would be possible if initially independent audio and visual estimates were formed and then subsequently combined.
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Project description:Two behavioral experiments assessed the plasticity and short-term improvement of task switching in 215 children and adults. Specifically, we studied manipulations of cued attention to different features of a target stimulus as a way to assess the development of cognitive flexibility. Each experiment had multiple levels of difficulty via manipulation of number of cued features (2-4) and number of response options (2 or 4). Working memory demand was manipulated across the two experiments. Impact of memory demand and task level manipulations on task accuracy and response times were measured. There were three overall goals: First, these task manipulations (number of cued features, response choices, and working memory load) were tested to assess the stability of group differences in performance between children ages 6-16 years and adults 18-27 years, with the goal of reducing age group differences. Second, age-related transitions to adult-level performance were examined within subgroups of the child sample. Third, short-term improvement from the beginning to the end of the study session was measured to probe whether children can improve with task experience. Attempts to use task manipulations to reduce age differences in cued task switching performance were unsuccessful: children performed consistently worse and were more susceptible to task manipulations than adults. However, across both studies, adult-like performance was observed around mid-adolescence, by ages 13-16 years. Certain task manipulations, especially increasing number of response options when working memory demand was low, produced differences from adults even in the oldest children. Interestingly, there was similar performance improvement with practice for both child and adult groups. The higher memory demand version of the task (Experiment 2) prompted greater short-term improvement in accuracy and response times than the lower memory demand version (Experiment 1). These results reveal stable differences in cued switching performance over development, but also relative flexibility within a given individual over time.
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Project description:PurposeWe aimed at further elucidating whether aphasic patients' difficulties in understanding non-canonical sentence structures, such as Passive or Object-Verb-Subject sentences, can be attributed to impaired morphosyntactic cue recognition, and to problems in integrating competing interpretations.MethodsA sentence-picture matching task with canonical and non-canonical spoken sentences was performed using concurrent eye tracking. Accuracy, reaction time, and eye tracking data (fixations) of 50 healthy subjects and 12 aphasic patients were analysed.ResultsPatients showed increased error rates and reaction times, as well as delayed fixation preferences for target pictures in non-canonical sentences. Patients' fixation patterns differed from healthy controls and revealed deficits in recognizing and immediately integrating morphosyntactic cues.ConclusionOur study corroborates the notion that difficulties in understanding syntactically complex sentences are attributable to a processing deficit encompassing delayed and therefore impaired recognition and integration of cues, as well as increased competition between interpretations.
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Project description:Purpose:Researchers have long noted speech recognition variability that is not explained by the pure-tone audiogram. Previous work (Souza, Wright, Blackburn, Tatman, & Gallun, 2015) demonstrated that a small number of listeners with sensorineural hearing loss utilized different types of acoustic cues to identify speechlike stimuli, specifically the extent to which the participant relied upon spectral (or temporal) information for identification. Consistent with recent calls for data rigor and reproducibility, the primary aims of this study were to replicate the pattern of cue use in a larger cohort and to verify stability of the cue profiles over time. Method:Cue-use profiles were measured for adults with sensorineural hearing loss using a syllable identification task consisting of synthetic speechlike stimuli in which spectral and temporal dimensions were manipulated along continua. For the first set, a static spectral shape varied from alveolar to palatal, and a temporal envelope rise time varied from affricate to fricative. For the second set, formant transitions varied from labial to alveolar and a temporal envelope rise time varied from approximant to stop. A discriminant feature analysis was used to determine to what degree spectral and temporal information contributed to stimulus identification. A subset of participants completed a 2nd visit using the same stimuli and procedures. Results:When spectral information was static, most participants were more influenced by spectral than by temporal information. When spectral information was dynamic, participants demonstrated a balanced distribution of cue-use patterns, with nearly equal numbers of individuals influenced by spectral or temporal cues. Individual cue profile was repeatable over a period of several months. Conclusion:In combination with previously published data, these results indicate that listeners with sensorineural hearing loss are influenced by different cues to identify speechlike sounds and that those patterns are stable over time.
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