Abstract
Cochlear Implants are a marvelous option for hearing-impaired patients to perceive sound again, yet some people still cannot benefit from their implant. The resulting problem is a suboptimal pitch discrimination, which in turn is a vital factor for vowel identification. As an approach to solve this problem, this paper proposes an adaptive pitch transposition, which transposes a given signal to a fixed pitch in which the implant patient has the best comprehension. This pitch is called comfort pitch and has to be determined in a patient test. As a result of these considerations, APT was prototypically implemented in Octave/Matlab and serves as an evaluation platform for the quality of the produced signals. Furthermore, the comfort pitch is a new measure to tune the performance of a cochlear implant patient. The entire concept can be used as a preprocessing stage for state-of-the art speech processing algorithms in cochlear implants.
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Acknowledgments
The author thanks the welisa graduate school for its support. Part of this research was funded by the German Research Foundation (DFG) grant number GRK 1505.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Struwe, K. (2017). APT: Enhanced Speech Comprehension Through Adaptive Pitch Transposition in Cochlear Implants. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_30
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DOI: https://doi.org/10.1007/978-3-319-49655-9_30
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