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- W1819005536 abstract "Currently, the cochlear implant coding techniques have achieved a high speech recognition rate in quiet environment, but the auditory perception performance will significantly decrease in noisy conditions. On the basis of cochlear implant advanced combinational encoder (ACE) strategy, this paper takes use of the noise spectrum estimation method to precisely estimate the noise based on the constrained variance, using the updated signal to noise ratio (SNR) and the masking threshold to solve the gain function. Finally, we combine the selected band channels to achieve the noise suppressing of cochlear implant. The experimental results show that comparing to the methods of front-end de-noising of the spectral subtraction algorithm and the traditional gain function algorithm of the speech enhancement for cochlear implant, the proposed algorithm keeps more voice information and greatly remove the background noise, making a great improvement especially in low SNR environment." @default.
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- W1819005536 date "2012-10-16" @default.
- W1819005536 modified "2023-09-28" @default.
- W1819005536 title "A Novel Gain Function Used in Noise Suppressing for Cochlear Implant Based on ACE Strategy" @default.
- W1819005536 doi "https://doi.org/10.1109/icecc.2012.277" @default.
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