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COMPUTERIZED TESTING OF SIGNAL‐ENCODING STRATEGIES WITH ROUND‐WINDOW IMPLANTS a
Author(s) -
Dillier N.,
Spillmann T.,
Güntensperger J.
Publication year - 1983
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.1983.tb31650.x
Subject(s) - loudness , computer science , signal (programming language) , speech recognition , formant , encoding (memory) , vowel , window (computing) , acoustics , artificial intelligence , computer vision , physics , programming language , operating system
After extensive testing of a patient with two bipolar modiolar electrodes connected to a percutaneous plug in 1977, we provided four patients with a single-channel monopolar round-window electrode connected to a tuned radio-frequency receiver coil. Loudness and pitch discrimination and results of psychophysical scaling experiments of extracochlear electrodes are comparable to those with intracochlear stimulation. Extensive testing with a computerized test system and with tape-recorded and live speech material showed that accurate vowel and speaker identification by stimulation alone is possible and that discrimination by lipreading is considerably improved. Interactive training sessions further improve discrimination results. Different signal-encoding algorithms can be used to generate in real time stimulation signals from prestored speech parameters (such as pitch, gain, formants, and zerocrossing intervals).