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 ...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 transposed to low frequency bands by compression mapping,and the phases are adjusted to the same as the original low frequency signals.Experimental results of speech intelligibility with nine subjects demonstrate that compared to conventional amplitude amplification and nonlinear frequency compression algorithms the proposed algorithm significantly improves the intelligibility of initials and sentences,while not affects the intelligibility of finals and tones significantly.展开更多
基金the National Natural Science Foundation of China under Grant Nos.61673108,61871213,61806087Jiangsu Province Natural Science Research Projects(No.17KJB470002)Jiangsu University of Science and Technology Youth Science and Technology Polytechnic Innovation Project(No.1132931804)。
文摘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 transposed to low frequency bands by compression mapping,and the phases are adjusted to the same as the original low frequency signals.Experimental results of speech intelligibility with nine subjects demonstrate that compared to conventional amplitude amplification and nonlinear frequency compression algorithms the proposed algorithm significantly improves the intelligibility of initials and sentences,while not affects the intelligibility of finals and tones significantly.
