Acoustic cues for improved speech recognition in combined acoustic and electric hearing

2006 ◽  
Vol 119 (5) ◽  
pp. 3238-3238 ◽  
Author(s):  
Ying‐Yee Kong ◽  
Robert P. Carlyon
Keyword(s):  
Speech Recognition ◽  
Acoustic Cues ◽  
Electric Hearing

Speech recognition of spoken Italian based on detection of landmarks and other acoustic cues to distinctive features

2020 ◽  
Vol 148 (4) ◽  
pp. 2808-2808
Author(s):  
Maria-Gabriella Di Benedetto ◽  
Jeung-Yoon Choi ◽  
Stefanie Shattuck-Hufnagel ◽  
Luca De Nardis ◽  
Sara Budoni ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Acoustic Cues ◽  
Distinctive Features

scholarly journals Do Adults With Cochlear Implants Rely on Different Acoustic Cues for Phoneme Perception Than Adults With Normal Hearing?

2014 ◽  
Vol 57 (2) ◽  
pp. 566-582 ◽  
Author(s):  
Aaron C. Moberly ◽  
Joanna H. Lowenstein ◽  
Eric Tarr ◽  
Amanda Caldwell-Tarr ◽  
D. Bradley Welling ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Word Recognition ◽  
Native Speakers ◽  
Age Of Onset ◽  
Normal Hearing ◽  
Implant Design ◽  
Spectral Structure ◽  
Acoustic Cues ◽  
Phoneme Perception ◽  
Spectral Weighting

Purpose Several acoustic cues specify any single phonemic contrast. Nonetheless, adult, native speakers of a language share weighting strategies, showing preferential attention to some properties over others. Cochlear implant (CI) signal processing disrupts the salience of some cues: In general, amplitude structure remains readily available, but spectral structure less so. This study asked how well speech recognition is supported if CI users shift attention to salient cues not weighted strongly by native speakers. Method Twenty adults with CIs participated. The /bɑ/-/wɑ/ contrast was used because spectral and amplitude structure varies in correlated fashion for this contrast. Adults with normal hearing weight the spectral cue strongly but the amplitude cue negligibly. Three measurements were made: labeling decisions, spectral and amplitude discrimination, and word recognition. Results Outcomes varied across listeners: Some weighted the spectral cue strongly, some weighted the amplitude cue, and some weighted neither. Spectral discrimination predicted spectral weighting. Spectral weighting explained the most variance in word recognition. Age of onset of hearing loss predicted spectral weighting but not unique variance in word recognition. Conclusion The weighting strategies of listeners with normal hearing likely support speech recognition best, so efforts in implant design, fitting, and training should focus on developing those strategies.

scholarly journals Increased reliance on top-down information to compensate for reduced bottom-up use of acoustic cues in dyslexia

2021 ◽  
Author(s):  
Hadeer Derawi ◽  
Eva Reinisch ◽  
Yafit Gabay
Keyword(s):  
Speech Recognition ◽  
Cognitive Load ◽  
Linguistic Knowledge ◽  
Compensatory Mechanism ◽  
Acoustic Cues ◽  
Top Down ◽  
Bottom Up ◽  
General Linguistic ◽  
High Cognitive Demand ◽  
Phoneme Categorization

AbstractSpeech recognition is a complex human behavior in the course of which listeners must integrate the detailed phonetic information present in the acoustic signal with their general linguistic knowledge. It is commonly assumed that this process occurs effortlessly for most people, but it is still unclear whether this also holds true in the case of developmental dyslexia (DD), a condition characterized by perceptual deficits. In the present study, we used a dual-task setting to test the assumption that speech recognition is effortful for people with DD. In particular, we tested the Ganong effect (i.e., lexical bias on phoneme identification) while participants performed a secondary task of either low or high cognitive demand. We presumed that reduced efficiency in perceptual processing in DD would manifest in greater modulation in the performance of primary task by cognitive load. Results revealed that this was indeed the case. We found a larger Ganong effect in the DD group under high than under low cognitive load, and this modulation was larger than it was for typically developed (TD) readers. Furthermore, phoneme categorization was less precise in the DD group than in the TD group. These findings suggest that individuals with DD show increased reliance on top-down lexically mediated perception processes, possibly as a compensatory mechanism for reduced efficiency in bottom-up use of acoustic cues. This indicates an imbalance between bottom-up and top-down processes in speech recognition of individuals with DD.

Selecting the Optimal FM System for Children With Cochlear Implants

2008 ◽  
Vol 18 (1) ◽  
pp. 19-24
Author(s):  
Erin C. Schafer
Keyword(s):  
Speech Recognition ◽  
Cochlear Implants ◽  
Empirical Research ◽  
Background Noise ◽  
Signal To Noise Ratio ◽  
Evidence Based ◽  
Signal To Noise ◽  
Speech Processor ◽  
System Input ◽  
Optimal Type

Children who use cochlear implants experience significant difficulty hearing speech in the presence of background noise, such as in the classroom. To address these difficulties, audiologists often recommend frequency-modulated (FM) systems for children with cochlear implants. The purpose of this article is to examine current empirical research in the area of FM systems and cochlear implants. Discussion topics will include selecting the optimal type of FM receiver, benefits of binaural FM-system input, importance of DAI receiver-gain settings, and effects of speech-processor programming on speech recognition. FM systems significantly improve the signal-to-noise ratio at the child's ear through the use of three types of FM receivers: mounted speakers, desktop speakers, or direct-audio input (DAI). This discussion will aid audiologists in making evidence-based recommendations for children using cochlear implants and FM systems.

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