[1] Nathan V,Paul S,Prioleau T,et al.A survey on smart homes for aging in place:Toward solutions to the specific needs of the elderly[J].IEEE Signal Processing Magazine,2018,35(5):111-119.
[2] Sophiya E,Jothilakshmi S.Large scale data based audio scene classification[J].International Journal of Speech Technology,2018,21(4):825-836.
[3] Ferguson E L,Ramakrishnan R,Williams S B,et al.Deep learning approach to passive monitoring of the underwater acoustic environment[J].The Journal of the Acoustical Society of America,2016,140(4):3351-3351.
[4] Kasnesis P,Tatlas N A,Mitilineos S A,et al.Acoustic sensor data flow for cultural heritage monitoring and safeguarding[J].Sensors,2019,19(7):1629.
[5] Lapuschkin S,Wäldchen S,Binder A,et al.Unmasking clever hans predictors and assessing what machines really learn[J].Nature communications,2019,10(1):1-8.
[6] Keren G,Schuller B.Convolutional RNN:An enhanced model for extracting features from sequential data[A].2016 International Joint Conference on Neural Networks[C].Canada:IEEE,2016.3412-3419.
[7] Chew J,Sun Y,Jayasinghe L,et al.DCASE 2018 Challenge:Solution for task 5[R].DCASE2018 Challenge,Tech.Rep,2018.
[8] Sabour S,Frosst N,Hinton G E.Dynamic routing between capsules[A].Advances in neural information processing systems[C].US:NIPS,2017.3856-3866.
[9] 任开旭,王玉龙,刘同存,李炜.融合多维语义表示的概率矩阵分解模型[J].电子学报,2019,47(9):1848-1854. REN Kai-xu,WANG Yu-long,LIU Tong-cun,LI Wei.A probabilistic matrix factorization model based on multidimensional semantic representation learning[J].Acta Electronica Sinica,2019,47(9):1848-1854.(in Chinese)
[10] 贾旭东,王莉.基于多头注意力胶囊网络的文本分类模型[J].清华大学学报(自然科学版),2020,60(5):415-421. JIA Xudong,WANG Li.Text classification model based on multi-head attention capsule networks[J].Journal of Tsinghua University(Science and Technology),2020,60(5):415-421.(in Chinese)
[11] Wang F,Cheng J,Liu W,et al.Additive margin softmax for face verification[J].IEEE Signal Processing Letters,2018,25(7):926-930.
[12] Dekkers G,Lauwereins S,Thoen B,et al.The SINS database for detection of daily activities in a home environment using an acoustic sensor network[A].Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop [C].Germany:DCASE.2017.32-36.
[13] Liu H,Wang F,Liu X,et al.An ensemble system for domestic activity recognition[R].DCASE2018 Challenge,Tech.Rep,2018.
[14] Tanabe R,Endo T,Nikaido Y,et al.Multichannel acoustic scene classification by blind dereverberation,blind source separation,data augmentation,and model ensembling[R].DCASE2018 Challenge,Tech.Rep,2018.
[15] Inoue T,Vinayavekhin P,Wang S,et al.Domestic activities classification based on cnn using shuffling and mixing data augmentation[R].DCASE2018 Challenge,Tech.Rep,2018.
[16] Dekkers G,Vuegen L,van Waterschoot T,et al.DCASE 2018 Challenge-Task 5:Monitoring of domestic activities based on multi-channel acoustics[R].DCASE2018 Challenge,Tech.Rep,2018.
[17] Yuhan Shen,Kexin He,Weiqiang Zhang.Home activity monitoring based on gated convolutional neural networks and system fusion[R].DCASE2018 Challenge,Tech.Rep,2018. |