Literature DB >> 23742378

The role of first formant information in simulated electro-acoustic hearing.

Carl Verschuur1, Conor Boland, Emily Frost, Jack Constable.   

Abstract

Cochlear implant (CI) recipients with residual hearing show improved performance with the addition of low-frequency acoustic stimulation (electro-acoustic stimulation, EAS). The present study sought to determine whether a synthesized first formant (F1) signal provided benefit to speech recognition in simulated EAS hearing and to compare such benefit with that from other low-frequency signals. A further aim was to determine if F1 amplitude or frequency was more important in determining benefit and if F1 benefit varied with formant bandwidth. In two experiments, sentence recordings from a male speaker were processed via a simulation of a partial insertion CI, and presented to normal hearing listeners in combination with various low-frequency signals, including a tone tracking fundamental frequency (F0), low-pass filtered speech, and signals based on F1 estimation. A simulated EAS benefit was found with F1 signals, and was similar to the benefit from F0 or low-pass filtered speech. The benefit did not differ significantly with the narrowing or widening of the F1 bandwidth. The benefit from low-frequency envelope signals was significantly less than the benefit from any low-frequency signal containing fine frequency information. Results indicate that F1 provides a benefit in simulated EAS hearing but low frequency envelope information is less important than low frequency fine structure in determining such benefit.

Mesh:

Year:  2013        PMID: 23742378     DOI: 10.1121/1.4803910

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  3 in total

1.  Effect of Place-Based Versus Default Mapping Procedures on Masked Speech Recognition: Simulations of Cochlear Implant Alone and Electric-Acoustic Stimulation.

Authors:  Margaret T Dillon; Brendan P O'Connell; Michael W Canfarotta; Emily Buss; Joseph Hopfinger
Journal:  Am J Audiol       Date:  2022-04-08       Impact factor: 1.636

2.  The Influence of the Type of Background Noise on Perceptual Learning of Speech in Noise.

Authors:  Liping Zhang; Friederike Schlaghecken; James Harte; Katherine L Roberts
Journal:  Front Neurosci       Date:  2021-05-03       Impact factor: 4.677

3.  Acoustic source characteristics, across-formant integration, and speech intelligibility under competitive conditions.

Authors:  Brian Roberts; Robert J Summers; Peter J Bailey
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-03-09       Impact factor: 3.332

  3 in total

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