2004
DOI: 10.1121/1.1651192
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The role of temporal and dynamic signal components in the perception of syllable-final stop voicing by children and adults

Abstract: Adults whose native languages permit syllable-final obstruents, and show a vocalic length distinction based on the voicing of those obstruents, consistently weight vocalic duration strongly in their perceptual decisions about the voicing of final stops, at least in laboratory studies using synthetic speech. Children, on the other hand, generally disregard such signal properties in their speech perception, favoring formant transitions instead. These age-related differences led to the prediction that children le… Show more

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Cited by 69 publications
(94 citation statements)
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“…However, all age groups, and particularly the 5-year-olds, improved with training. Nittrouer and her colleagues have published a series of studies that documents differences between preschool children and older listeners in the cues that they use in phonetic discriminations (e.g., Nittrouer, 2004Nittrouer, ,2005Nittrouer, ,2006. In general, the results of these studies support the view that children place greater weight on dynamic cues than on static cues in identifying and discriminating consonants when both types of cues are available, but that adults do just the opposite, weighting static cues more heavily than dynamic cues.…”
Section: Discovering New Detailssupporting
confidence: 73%
“…However, all age groups, and particularly the 5-year-olds, improved with training. Nittrouer and her colleagues have published a series of studies that documents differences between preschool children and older listeners in the cues that they use in phonetic discriminations (e.g., Nittrouer, 2004Nittrouer, ,2005Nittrouer, ,2006. In general, the results of these studies support the view that children place greater weight on dynamic cues than on static cues in identifying and discriminating consonants when both types of cues are available, but that adults do just the opposite, weighting static cues more heavily than dynamic cues.…”
Section: Discovering New Detailssupporting
confidence: 73%
“…Two sets of synthetic stimuli, speech and non-speech (closely resembling those used by [19]), were created by using a Klatt type cascade-parallel formant synthesizer (HLsyn, Sensimetrics Inc., 1.0). Speech stimuli were English nonwords /bot/ and /bod/ that are distinguished by voicing of the syllable-final consonant.…”
Section: Methodsmentioning
confidence: 99%
“…Synthetic speech permits rigorous control, but there are some issues that limit the utility of this approach. For instance, synthetic speech is consistently less intelligible than natural speech (Greene et al, 1986), and there are several published studies suggesting that listeners perceive spectral and temporal cues in synthetic speech in a qualitatively different way than in natural speech (Walsh and Parker, 1984;Hillenbrand et al, 2000;Nittrouer, 2004). Across these studies, spectral cues like formant structure and formant transitions were weighted less heavily in synthetic speech compared to natural (or modified natural) speech, presumably because of limitations in the ability to synthesize natural-sounding voices, or limitations in assessing all of the relevant details of the speech spectrum.…”
Section: A Previous Measures Of Spectral Resolution In CI Listenersmentioning
confidence: 99%