2016
DOI: 10.1121/1.4939891
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The intelligibility of interrupted and temporally altered speech: Effects of context, age, and hearing loss

Abstract: Temporal constraints on the perception of interrupted speech were investigated by comparing the intelligibility of speech that was periodically gated (PG) and subsequently either temporally compressed (PG TC ) by concatenating remaining speech fragments or temporally expanded (PG TE ) by doubling the silent intervals between speech fragments. Experiment 1 examined the effects of PG TC and PG TE at different gating rates (0.5 -16 Hz) on the intelligibility of words and sentences for young normal-hearing adults.… Show more

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Cited by 19 publications
(17 citation statements)
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References 73 publications
(153 reference statements)
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“…This lack of an age effect for interrupted speech contrasts with some reports in the literature (e.g., Gordon-Salant & Fitzgibbons, 1993 ; Shafiro et al., 2015 ) but two important stimulus characteristics must be considered when making such comparisons: (a) the rate of interruption and (b) the speech material used. In terms of the rate of interruption, rates in the region of 10 Hz can have little effect on the intelligibility of otherwise intact sentence material in both younger and older normal-hearing listeners, whereas lower interruption rates can result in marked deficits ( Saija et al., 2014 ; Shafiro, Sheft, & Risley, 2016 ). Even for rates in the 10-Hz region, however, performance depends on the speech material.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…This lack of an age effect for interrupted speech contrasts with some reports in the literature (e.g., Gordon-Salant & Fitzgibbons, 1993 ; Shafiro et al., 2015 ) but two important stimulus characteristics must be considered when making such comparisons: (a) the rate of interruption and (b) the speech material used. In terms of the rate of interruption, rates in the region of 10 Hz can have little effect on the intelligibility of otherwise intact sentence material in both younger and older normal-hearing listeners, whereas lower interruption rates can result in marked deficits ( Saija et al., 2014 ; Shafiro, Sheft, & Risley, 2016 ). Even for rates in the 10-Hz region, however, performance depends on the speech material.…”
Section: Discussionmentioning
confidence: 99%
“…Even for rates in the 10-Hz region, however, performance depends on the speech material. The high intelligibility reported by Shafiro et al. (2016) for 8 - and 16-Hz interruptions was for the Hearing in Noise Test [HINT] sentences while that reported by Saija et al.…”
Section: Discussionmentioning
confidence: 99%
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“…One example is the word intelligibility (articulation) of speech in which 50-ms portions are alternately played and silenced, as reported by Miller and Licklider ( 1950 ), who discovered the illusory continuity (see also Vicario, 1960 ). Intelligibility does not change in such “gated speech” even if the temporal gaps are simply removed, shortening the total duration (Fairbanks and Kodman, 1957 ; Shafiro et al, 2016 ). The perception of locally time-reversed speech is also to be noted.…”
Section: Introductionmentioning
confidence: 99%
“…Speech-in-noise perception, particularly in multi-talker environments, is likely dependent on how the AM of competing sources interfere with the recognition of glimpsed speech. Furthermore, while periodic interruption methods are currently used to study a wide variety of effects on speech recognition (e.g., Nagaraj and Knapp, 2015;Wilson and Irish, 2015;Bhargava et al, 2016;Molis and Gallun, 2016;Shafiro et al, 2016;Smiljanic et al, 2016;Smith and Fogerty, 2017); this methodology needs to be verified with more naturalistic conditions where non-periodic speech interruptions are defined according to the temporal intervals of speech glimpses in realistic masking conditions, such as during speech-on-speech masking. This is a more ecologically valid case and necessary to help bridge results from the interrupted speech literature to more naturalistic speech glimpsing models.…”
Section: Introductionmentioning
confidence: 99%