The speech understanding capabilities of cochlear implant (Cl) users have increased steadily throughout the years. However, speech perception performance of Cl users drops tremendously in noisy listening conditions. Also, Cl users are unable to identify familiar melodies and enjoy music. Some Cl patients refer to music as """"""""noise with rhythm"""""""". Communicating in noise and enjoying music still remain the two biggest challenges in cochlear implants. Little is known about the factors that contribute to the poor performance of Cl users in noise and in identifying familiar melodies. In this project, we propose a series of experiments aimed at isolating these factors. We propose new signal processing algorithms tailored for music and noise. The proposed experiments have five specific aims.
The first aim assesses the relative contribution of fine structure and envelope information on word recognition in noise.
The second aim i nvestigates the performance of two noise reduction algorithms that preserve fine temporal cues and/or envelope cues. A method for customizing and optimizing the noise reduction algorithms to individual users is proposed.
The third aim assesses the relative contribution of fine structure and envelope information on melody recognition. ? The fourth aim investigates the performance of a new strategy that incorporates fine-structure information for better music perception. The last aim investigates the performance of a desynchronizing strategy which can be used for subjects who would otherwise not be able to receive any benefit from the strategies proposed in the previous aims for speech or music. The five aims taken together will produce speech/music coding algorithms that will be optimally fit to individual users. The results of the above experiments will lay the groundwork for a better understanding on the importance of fine structure cues for speech understanding in noise and for music appreciation by Cl listeners. It will also open new avenues for the development of future signal processing strategies for cochlear implants that could potentially be used to improve not only speech intelligibility but also speaker identification and tonal language recognition. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
1R01DC007527-01
Application #
6930776
Study Section
Special Emphasis Panel (ZDC1-SRB-W (42))
Program Officer
Miller, Roger
Project Start
2005-04-01
Project End
2010-03-31
Budget Start
2005-04-01
Budget End
2006-03-31
Support Year
1
Fiscal Year
2005
Total Cost
$293,837
Indirect Cost
Name
University of Texas-Dallas
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
800188161
City
Richardson
State
TX
Country
United States
Zip Code
75080
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Kokkinakis, Kostas; Hazrati, Oldooz; Loizou, Philipos C (2011) A channel-selection criterion for suppressing reverberation in cochlear implants. J Acoust Soc Am 129:3221-32
Loizou, Philipos C; Kim, Gibak (2011) Reasons why current speech-enhancement algorithms do not improve speech intelligibility and suggested solutions. IEEE Trans Audio Speech Lang Process 19:47-56
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Li, Ning; Loizou, Philipos C (2010) Masking release and the contribution of obstruent consonants on speech recognition in noise by cochlear implant users. J Acoust Soc Am 128:1262-71
Kokkinakis, Kostas; Loizou, Philipos C (2010) Multi-microphone adaptive noise reduction strategies for coordinated stimulation in bilateral cochlear implant devices. J Acoust Soc Am 127:3136-44
Hu, Yi; Loizou, Philipos C (2010) Effects of introducing low-frequency harmonics in the perception of vocoded telephone speech. J Acoust Soc Am 128:1280-9
Hu, Yi; Loizou, Philipos C (2010) Environment-specific noise suppression for improved speech intelligibility by cochlear implant users. J Acoust Soc Am 127:3689-95

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