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本文引用的文献

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A Real-Time Convolutional Neural Network Based Speech Enhancement for Hearing Impaired Listeners Using Smartphone.一种基于实时卷积神经网络的、使用智能手机的听力受损者语音增强方法。
IEEE Access. 2019;7:78421-78433. doi: 10.1109/access.2019.2922370. Epub 2019 Jun 12.
2
Influence of MVDR beamformer on a Speech Enhancement based Smartphone application for Hearing Aids.最小方差无失真响应(MVDR)波束形成器对基于语音增强的助听器智能手机应用的影响。
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:417-420. doi: 10.1109/EMBC.2018.8512369.
3
An individualized super-Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive device.一种以智能手机为辅助设备的针对助听器用户的个性化超高斯单麦克风语音增强技术。
IEEE Signal Process Lett. 2017 Nov;24(11):1601-1605. doi: 10.1109/LSP.2017.2750979. Epub 2017 Sep 11.

使用智能手机的助听器应用中,基于语音活动检测辅助的最小方差无失真响应波束形成器的实时双通道语音增强

Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphone.

作者信息

Shankar Nikhil, Bhat Gautam Shreedhar, Panahi Issa M S

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:952-955. doi: 10.1109/EMBC44109.2020.9175212.

DOI:10.1109/EMBC44109.2020.9175212
PMID:33018142
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7545265/
Abstract

In this paper, a dual-channel speech enhancement (SE) method is proposed. The proposed method is a combination of minimum variance distortionless response (MVDR) beamformer and a super-Gaussian joint maximum a posteriori (SGJMAP) based SE gain function. The proposed SE method runs on a smartphone in real-time, providing a portable device for hearing aid (HA) applications. Spectral Flux based voice activity detector (VAD) is used to improve the accuracy of the beamformer output. The efficiency of the proposed SE method is evaluated using speech quality and intelligibility measures and compared with that of other SE techniques. The objective and subjective test results show the capability of the proposed SE method in three different noisy conditions at low signal to noise ratios (SNRs) of -5, 0, and +5 dB.

摘要

本文提出了一种双通道语音增强(SE)方法。该方法是最小方差无失真响应(MVDR)波束形成器与基于超高斯联合最大后验(SGJMAP)的SE增益函数的结合。所提出的SE方法可在智能手机上实时运行,为助听器(HA)应用提供了一种便携式设备。基于谱通量的语音活动检测器(VAD)用于提高波束形成器输出的准确性。使用语音质量和可懂度指标对所提出的SE方法的效率进行评估,并与其他SE技术进行比较。客观和主观测试结果表明,所提出的SE方法在-5、0和+5 dB的低信噪比下的三种不同噪声条件下均具有性能。