Literature DB >> 1397769

Effects of noise and noise suppression on speech perception by cochlear implant users.

I Hochberg1, A Boothroyd, M Weiss, S Hellman.   

Abstract

The recognition of phonemes in consonant-vowel-consonant words, presented in speech-shaped random noise, was measured as a function of signal to noise ratio (S/N) in 10 normally hearing adults and 10 successful adult users of the Nucleus cochlear implant. Optimal scores (measured at a S/N of +25 dB) were 98% for the average normal subject and 42% for the average implantee. Phoneme recognition threshold was defined as the S/N at which the phoneme recognition score fell to 50% of its optimal value. This threshold was -2 dB for the average normal subject and +9 dB for the average implantee. Application of a digital noise suppression algorithm (INTEL) to the mixed speech plus noise signal had no effect on the optimal phoneme recognition score of either group or on the phoneme recognition threshold of the normal group. It did, however, improve the phoneme recognition threshold of the implant group by an average of 4 to 5 dB. These findings illustrate the noise susceptibility of Nucleus cochlear implant users and suggest that single-channel digital noise reduction techniques may offer some relief from this problem.

Mesh:

Year:  1992        PMID: 1397769     DOI: 10.1097/00003446-199208000-00008

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  24 in total

1.  Combined spectral and temporal enhancement to improve cochlear-implant speech perception.

Authors:  Aparajita Bhattacharya; Andrew Vandali; Fan-Gang Zeng
Journal:  J Acoust Soc Am       Date:  2011-11       Impact factor: 1.840

2.  Multi-microphone adaptive noise reduction strategies for coordinated stimulation in bilateral cochlear implant devices.

Authors:  Kostas Kokkinakis; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2010-05       Impact factor: 1.840

3.  Noise susceptibility of cochlear implant users: the role of spectral resolution and smearing.

Authors:  Qian-Jie Fu; Geraldine Nogaki
Journal:  J Assoc Res Otolaryngol       Date:  2005-04-22

4.  Subspace algorithms for noise reduction in cochlear implants.

Authors:  Philipos C Loizou; Arthur Lobo; Yi Hu
Journal:  J Acoust Soc Am       Date:  2005-11       Impact factor: 1.840

5.  A historical perspective on digital hearing AIDS: how digital technology has changed modern hearing AIDS.

Authors:  Harry Levitt
Journal:  Trends Amplif       Date:  2007-03

6.  Sensitivity to interaural time differences in the inferior colliculus with bilateral cochlear implants.

Authors:  Zachary M Smith; Bertrand Delgutte
Journal:  J Neurosci       Date:  2007-06-20       Impact factor: 6.167

7.  Maximizing cochlear implant patients' performance with advanced speech training procedures.

Authors:  Qian-Jie Fu; John J Galvin
Journal:  Hear Res       Date:  2007-12-08       Impact factor: 3.208

8.  On the importance of preserving the harmonics and neighboring partials prior to vocoder processing: implications for cochlear implants.

Authors:  Yi Hu; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2010-01       Impact factor: 1.840

9.  Using blind source separation techniques to improve speech recognition in bilateral cochlear implant patients.

Authors:  Kostas Kokkinakis; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2008-04       Impact factor: 1.840

10.  Effects of digital noise reduction on speech perception for children with hearing loss.

Authors:  Patricia Stelmachowicz; Dawna Lewis; Brenda Hoover; Kanae Nishi; Ryan McCreery; William Woods
Journal:  Ear Hear       Date:  2010-06       Impact factor: 3.570

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