Literature DB >> 11108378

Speech recognition by normal-hearing and cochlear implant listeners as a function of intensity resolution.

P C Loizou1, M Dorman, O Poroy, T Spahr.   

Abstract

The importance of intensity resolution in terms of the number of intensity steps needed for speech recognition was assessed for normal-hearing and cochlear implant listeners. In experiment 1, the channel amplitudes extracted from a six-channel continuous interleaved sampling (CIS) processor were quantized into 2, 4, 8, 16, or 32 steps. Consonant recognition was assessed for five cochlear implant listeners, using the Med-El/CIS-link device, as a function of the number of steps in the electrical dynamic range. Results showed that eight steps within the dynamic range are sufficient for reaching asymptotic performance in consonant recognition. These results suggest that amplitude resolution is not a major factor in determining consonant identification. In experiment 2, the relationship between spectral resolution (number of channels) and intensity resolution (number of steps) in normal-hearing listeners was investigated. Speech was filtered through 4-20 frequency bands, synthesized as a linear combination of sine waves with amplitudes extracted from the envelopes of the bandpassed waveforms, and then quantized into 2-32 levels to produce stimuli with varying degrees of intensity resolution. Results showed that the number of steps needed to achieve asymptotic performance was a function of the number of channels and the speech material used. For vowels, asymptotic performance was obtained with four steps, while for consonants, eight steps were needed for most channel conditions, consistent with our findings in experiment 1. For sentences processed though 4 channels, 16 steps were needed to reach asymptotic performance, while for sentences processed through 16 channels, 4 steps were needed. The results with normal-hearing listeners on sentence recognition point to an inverse relationship between spectral resolution and intensity resolution. When spectral resolution is poor (i.e., a small number of channels is available) a relatively fine intensity resolution is needed to achieve high levels of understanding. Conversely, when the intensity resolution is poor, a high degree of spectral resolution is needed to achieve asymptotic performance. The results of this study, taken together with previous findings on the effect of reduced dynamic range, suggest that the performance of cochlear implant subjects is primarily limited by the small number (four to six) of channels received, and not by the small number of intensity steps or reduced dynamic range.

Mesh:

Year:  2000        PMID: 11108378     DOI: 10.1121/1.1317557

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


  12 in total

Review 1.  Probing the electrode-neuron interface with focused cochlear implant stimulation.

Authors:  Julie Arenberg Bierer
Journal:  Trends Amplif       Date:  2010-06

2.  Relative contributions of spectral and temporal cues for phoneme recognition.

Authors:  Li Xu; Catherine S Thompson; Bryan E Pfingst
Journal:  J Acoust Soc Am       Date:  2005-05       Impact factor: 1.840

3.  Evaluation of TIMIT sentence list equivalency with adult cochlear implant recipients.

Authors:  Sarah E King; Jill B Firszt; Ruth M Reeder; Laura K Holden; Michael Strube
Journal:  J Am Acad Audiol       Date:  2012-05       Impact factor: 1.664

4.  An ideal quantized mask to increase intelligibility and quality of speech in noise.

Authors:  Eric W Healy; Jordan L Vasko
Journal:  J Acoust Soc Am       Date:  2018-09       Impact factor: 1.840

5.  Self-Selection of Frequency Tables with Bilateral Mismatches in an Acoustic Simulation of a Cochlear Implant.

Authors:  Matthew B Fitzgerald; Ksenia Prosolovich; Chin-Tuan Tan; E Katelyn Glassman; Mario A Svirsky
Journal:  J Am Acad Audiol       Date:  2017-05       Impact factor: 1.664

6.  Effect of Microphone Configuration and Sound Source Location on Speech Recognition for Adult Cochlear Implant Users with Current-Generation Sound Processors.

Authors:  Robert T Dwyer; Jillian Roberts; René H Gifford
Journal:  J Am Acad Audiol       Date:  2020-04-27       Impact factor: 1.664

7.  Exploring the Source of Neural Responses of Different Latencies Obtained from Different Recording Electrodes in Cochlear Implant Users.

Authors:  Akinori Kashio; Viral D Tejani; Rachel A Scheperle; Carolyn J Brown; Paul J Abbas
Journal:  Audiol Neurootol       Date:  2016-04-16       Impact factor: 1.854

8.  VALIDATION OF ACOUSTIC MODELS OF AUDITORY NEURAL PROSTHESES.

Authors:  Mario A Svirsky; Nai Ding; Elad Sagi; Chin-Tuan Tan; Matthew Fitzgerald; E Katelyn Glassman; Keena Seward; Arlene C Neuman
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2013-05

9.  Sensitivity of the human auditory cortex to acoustic degradation of speech and non-speech sounds.

Authors:  Ismo Miettinen; Hannu Tiitinen; Paavo Alku; Patrick J C May
Journal:  BMC Neurosci       Date:  2010-02-22       Impact factor: 3.288

10.  Influence of stimulation rate and loudness growth on modulation detection and intensity discrimination in cochlear implant users.

Authors:  John J Galvin; Qian-Jie Fu
Journal:  Hear Res       Date:  2009-02-03       Impact factor: 3.208

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