Speech Rate Normalization and Phonemic Boundary Perception in Cochlear-Implant Users

Jaekel, Brittany N.; Newman, Rochelle S.; Goupell, Matthew J.

doi:10.1044/2016_jslhr-h-15-0427

Cited by 11 publications

(7 citation statements)

References 77 publications

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“…As a result, the temporal properties of the context and target were more difficult to contrast for the listener, reducing the rate effects in Experiment 1. This is in line with findings that ratedependent perception is robust against noise-vocoding (Jaekel et al, 2017). In fact, cochlear-implant users demonstrate similar if not stronger rate-dependent perception compared with individuals with normal hearing, corroborating that listener compensation against signal degradation maintains rate-dependent perception (Jaekel et al, 2017).…”

Section: Discussionsupporting

confidence: 87%

“…Human neural responses to abrupt changes in background noise show rapid and selective suppression of the acoustic characteristics of the speechmasking noise in as little as 1 second after noise onset (Khalighinejad et al, 2019). Considering this rapid adaptation to background noise, perhaps listeners are capable of quickly compensating for the masking noise in the present ratedependent perception experiments, much like how humans learn to adjust their rate perception to atypical noisevocoded input (Jaekel et al, 2017;Shannon et al, 1995), hence predicting similar rate effects in noise compared with in quiet.…”

Section: Introductionmentioning

confidence: 77%

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Encoding speech rate in challenging listening conditions: White noise and reverberation

Reinisch

Bosker

2022

Atten Percept Psychophys

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Temporal contrasts in speech are perceived relative to the speech rate of the surrounding context. That is, following a fast context sentence, listeners interpret a given target sound as longer than following a slow context, and vice versa. This rate effect, often referred to as “rate-dependent speech perception,” has been suggested to be the result of a robust, low-level perceptual process, typically examined in quiet laboratory settings. However, speech perception often occurs in more challenging listening conditions. Therefore, we asked whether rate-dependent perception would be (partially) compromised by signal degradation relative to a clear listening condition. Specifically, we tested effects of white noise and reverberation, with the latter specifically distorting temporal information. We hypothesized that signal degradation would reduce the precision of encoding the speech rate in the context and thereby reduce the rate effect relative to a clear context. This prediction was borne out for both types of degradation in Experiment 1, where the context sentences but not the subsequent target words were degraded. However, in Experiment 2, which compared rate effects when contexts and targets were coherent in terms of signal quality, no reduction of the rate effect was found. This suggests that, when confronted with coherently degraded signals, listeners adapt to challenging listening situations, eliminating the difference between rate-dependent perception in clear and degraded conditions. Overall, the present study contributes towards understanding the consequences of different types of listening environments on the functioning of low-level perceptual processes that listeners use during speech perception.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 77%

Encoding speech rate in challenging listening conditions: White noise and reverberation

Reinisch

Bosker

2022

Atten Percept Psychophys

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“…Previous research suggests that CI users are sensitive to differences in speaking rate. In particular, speech produced with faster speaking rates has been shown to be more challenging to recognize for CI users and NH listeners tested under CI simulation (Ji et al 2014; Jaekel et al 2017). These findings suggest that speaking rate may be a potentially useful cue in the speaking style discrimination task.…”

Section: Introductionmentioning

confidence: 99%

Perceptual Discrimination of Speaking Style Under Cochlear Implant Simulation

2019

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The findings from the present study demonstrate that perceiving differences in three speaking styles under CI simulation is a difficult task because some important cues to speaking style are not fully available in these conditions. While some cues like speaking rate are available, this information alone may not always be a reliable indicator of a particular speaking style. Some other reliable speaking styles cues, such as degraded acoustic-phonetic information and variability in speaking rate within an utterance, may be available but less salient. However, as in experiment 2, listeners' perception of speaking styles may be modified if they are constrained or trained to use these additional cues, which were more reliable in the context of the present study. Taken together, these results suggest that dealing with speech variability in real-life listening conditions may be a challenge for CI users.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

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“…Perceptual categorization is established on the distance between the perceptual peaks of two signals [54][55][56]. The identification task [39,41,[57][58][59][60] helps listeners attend to relevant between-category differences via top-down processing. In contrast, discrimination tasks [42, 48-51, 57, 61] focus on within-category variability, that is, bottom-up perception [59].…”

Section: Tablementioning

confidence: 99%

Perceptual Learning of Uncategorized Arabic Phonemes among Congenitally Deaf, Non-native Children with Cochlear Implants

Naz Anis,

Umat

2023

Latest Advances in Cochlear Implant Technologies and Related Clinical Applications

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The advancement in cochlear implant (CI) technologies and how CIs help their users have far exceeded expectations. Speech perception remains the focus of many studies related to cochlear implant clinical research to ensure the technology maximizes the benefits to be obtained by CI users. This chapter will discuss the perception of non-native sounds among congenitally deaf pediatric CI users, specifically emphasizing Arabic consonants. This language is used and learned by billions of non-native Arabs worldwide. Non-native auditory signals are perceived differently by children with CI due to speech processor signal processing and native language learning effects. This study measured the perceptual learning of uncategorized-dispersed-assimilated Arabic consonants for a group of non-native children with CI using a newly developed, FizBil© bottom-up, customized software training module. The framework and hypothetical pathway will be discussed.

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Speech Rate Normalization and Phonemic Boundary Perception in Cochlear-Implant Users

Abstract: CI participants can rate normalize, despite their degraded speech input, and show a larger rate effect compared to NH participants. CI participants may particularly rely on rate normalization to better maintain perceptual constancy of the speech signal.

Cited by 11 publications

References 77 publications

Encoding speech rate in challenging listening conditions: White noise and reverberation

Encoding speech rate in challenging listening conditions: White noise and reverberation

Perceptual Discrimination of Speaking Style Under Cochlear Implant Simulation

Perceptual Learning of Uncategorized Arabic Phonemes among Congenitally Deaf, Non-native Children with Cochlear Implants

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