Xia Wang1, Hongming Shen1, Huawei Tao2, Ruiyu Liang3, Xing Deng4,5, Haijian Shao5, Li Zhao6,*, Cairong Zou6
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.2, pp. 551-567, 2019, DOI:10.32604/cmes.2019.06314
Abstract To make full use of the residual audible frequency band of hearing-loss
patients and improve the intelligibility of speech, an adaptive nonlinear frequency
compression (NFC) algorithm is proposed, which amplifies signals below the cutoff
frequency while compresses signals above the cutoff frequency. Firstly, high-frequency
signals are decomposed to critical band signals according to the BARK scale. Secondly,
the global compression ratio is determined according to the patient's cutoff frequency and
maximum audible frequency. Thirdly, the sub-band compression ratio is adaptively
determined based on the global compression ratio and normalized average energy of subband
signals. Finally, the high frequency signals are… More >
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