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噪聲環(huán)境下基于信噪比的多通道自適應(yīng)頻響補(bǔ)償算法

Multichannel adaptive loudness compensation algorithm based on signal-to-noise ratio in noise environment

作者: 李如瑋  張永亞  潘冬梅  楊登才 
單位:北京工業(yè)大學(xué)信息學(xué)部信息與通信工程學(xué)院(北京 100124)<p>北京工業(yè)大學(xué)科學(xué)技術(shù)發(fā)展院(北京100124)</p>
關(guān)鍵詞: Gammatone濾波器;  多通道;  信噪比;  自適應(yīng)頻響補(bǔ)償;  聲壓級;  聽力曲線 
分類號:R318.04
出版年·卷·期(頁碼):2019·38·1(42-51)
摘要:

目的 針對數(shù)字助聽器中現(xiàn)有的頻響補(bǔ)償算法在噪聲環(huán)境下無法滿足耳障者對語音質(zhì)量和可懂度要求的問題,本文提出了基于信噪比的多通道自適應(yīng)頻響補(bǔ)償算法。方法 該算法首先采用Gammatone濾波器組對含噪語音進(jìn)行子帶分解,對各子帶采用二值掩蔽方法去噪,在不損傷語音的同時(shí)盡可能去除各子帶內(nèi)的噪聲;然后在各子帶估計(jì)其信噪比以及增益;再利用信噪比自適應(yīng)地調(diào)整線性放大和寬動態(tài)壓縮在頻響補(bǔ)償中所占的權(quán)重,并且在高頻語音部分采用基于非線性頻率壓縮的寬動態(tài)壓縮算法;最后根據(jù)正常人和耳障者聽力曲線以及信噪比對各子帶進(jìn)行自適應(yīng)頻響補(bǔ)償,通過對語音的LPA估計(jì)以及對耳障者的主觀測試比較本文算法與對比算法的優(yōu)越性。結(jié)果  本文算法對每個(gè)子帶的語音信號實(shí)現(xiàn)了自適應(yīng)頻響補(bǔ)償,相較于對比算法,本文算法在噪聲環(huán)境下不僅較好地保護(hù)了語音的共振峰結(jié)構(gòu)和譜包絡(luò),而且使語音的聲壓級在耳障者的聽力舒適閾內(nèi)得到了較多的補(bǔ)償,有效地補(bǔ)償了患者損失的聽力,提高了耳障者的言語可懂度。結(jié)論 噪聲環(huán)境下基于信噪比的多通道頻響補(bǔ)償算法優(yōu)于對比算法,有效提高了聽障患者感知語音的可懂度和舒適度。

Objective Aiming at the problem that the existing loudness compensation algorithm in digital hearing aids can not meet the requirement of the ear impaired for speech quality and intelligibility in noise environment, we propose a multichannel adaptive loudness compensation algorithm based on signal-to-noise ratio in this paper. Methods Firstly, noisy signal was divided into multi-subband by Gammatone filter banks, and noise reduction was performed by binary masking without damaging the speech in each band.Then, we calculated  the signal-to-noise ratio and gain of each band, and adjust the weight of linear amplification and wide dynamic compression in loudness compensation according to the signal-to-noise ratio adaptively. During this process ,a wide dynamic compression algorithm based on nonlinear frequency compression was adopted in the high frequency of speech. Finally,a adaptive loudness compensation was implemented in each band according to the hearing curve of normal human and hearing impaired patients and signal-to-noise ratio.Comparing the superiority of the proposed algorithm with the contrast algorithm by estimating the LPA spectrum of speech and subjective testing of the hearing impaired patients. Results The proposed algorithm implemented adaptive loudness compensation for the speech signal of each band,compared with the contrast algorithm,the proposed algorithm not only protected the formant structure and spectral envelope of speech in noise environment , and make the sound pressure level of speech   compensated more in the hearing comfort threshold of hearing impaired patients,compensated the missing hearing effectively,improved the speech intelligibility. Conclusion The proposed method is superior to the contrast algorithm,it can effectively improve the auditory perception and comfort of hearing loss in noisy environment.

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