Information from the voice fundamental frequency (F0) region accounts for the majority of the benefit when acoustic stimulation is added to electric stimulation.
OBJECTIVE
The aim of this study was to determine the minimum amount of low-frequency acoustic information that is required to achieve speech perception benefit in listeners with a cochlear implant in one ear and low-frequency hearing in the other ear.


METHODS
The recognition of monosyllabic words in quiet and sentences in noise was evaluated in three listening conditions: electric stimulation alone, acoustic stimulation alone, and combined electric and acoustic stimulation. The acoustic stimuli presented to the nonimplanted ear were either low-pass-filtered at 125, 250, 500, or 750 Hz, or unfiltered (wideband).


RESULTS
Adding low-frequency acoustic information to electrically stimulated information led to a significant improvement in word recognition in quiet and sentence recognition in noise. Improvement was observed in the electric and acoustic stimulation condition even when the acoustic information was limited to the 125-Hz-low-passed signal. Further improvement for the sentences in noise was observed when the acoustic signal was increased to wideband.


CONCLUSIONS
Information from the voice fundamental frequency (F0) region accounts for the majority of the speech perception benefit when acoustic stimulation is added to electric stimulation. We propose that, in quiet, low-frequency acoustic information leads to an improved representation of voicing, which in turn leads to a reduction in word candidates in the lexicon. In noise, the robust representation of voicing allows access to low-frequency acoustic landmarks that mark syllable structure and word boundaries. These landmarks can bootstrap word and sentence recognition.
Zhang
Ting
T
University of Maryland at College Park, Maryland, USA. Ting.Zhang@asu.edu
Dorman
Michael F
MF
Spahr
Anthony J
AJ
D000328:Adult; D001302:Audiometry, Speech; D003054:Cochlear Implants; D003131:Combined Modality Therapy; D003638:Deafness / Q000534:rehabilitation*; D005260:Female; D006310:Hearing Aids; D006801:Humans; D008297:Male; D010470:Perceptual Masking; D011474:Prosthesis Design; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013018:Sound Spectrography; D014831:Voice