Modeling Advanced Combination Encoder Combined Acoustic Hearing For Chinese Speaking Patients Using Cochlear Implants
連續交替編碼策略 ； 進階結合編碼策略 ； 助聽器 ； 人工電子耳 ； Cochlear implant ； Hearing aid ； Advanced Combination Encoders ； Continuous Interleaved Sampling
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The aim of this study is to simulate the cochlear implant (CI) with advanced combination encoding (ACE) strategy combined with low-frequency speech signal simulated hearing aid to evaluate their effects on Chinese word and tone recognition rates. Recent studies have shown that the effects of binaurally hearing will gain benefits on Chinese speech recognition. Previous study in our laboratory has confirmed that Chinese speech recognition rates could be improved with continuous interleaved sampling (CIS) strategy combined acoustic hearing. Because ACE strategy is the preferred speech encoding strategy for most of the CI recipients, we followed the same experimental environments of previous study and changed the speech strategy from CIS to ACE in this study. Signal noise ratio (SNR) of simulated cochlear implants signals were tuned to +4dB. Chinese word and tone recognition rates were evaluated in five normal-hearing (NH) subjects using ACE under three different conditions: 1) only simulated CI signals with modulated Gaussian white noise for monaural stimulation, 2) simulated CI signals with modulated Gaussian white noise and simulated (HA) signals (low-pass speech signals with cutoff frequency of 500 Hz) for monaural stimulation, and 3) simulated CI signals with modulated Gaussian white noise to one ear and simulated HA signals to the other ear for dichotic stimulation. For comparison purpose, Chinese word and tone recognition were also evaluated in four cochlear implant (CI) users of the Nucleus-24 device using ACE strategy and with contralateral hearing aid (HA). Preliminary results showed that the Chinese word and tone recognition rates of the NH listeners and CI recipients are statistically significantly improved (word recognition rates were improved from 39.6% to 65.6%, 69.2% to 96.8% for NH listeners and 13% to 27.8%, 54% to 78% for CI recipients). These results suggest that Chinese speech recognition could be enhanced if more speech information are provided from the HA to CI users and recognition rates are further improved with increasing amounts of frequency acoustic information.
工程學 > 電機工程