{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:02:21Z","timestamp":1757617341107,"version":"3.44.0"},"reference-count":30,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Fundamentals"],"published-print":{"date-parts":[[2025,9,1]]},"DOI":"10.1587\/transfun.2024eap1138","type":"journal-article","created":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T17:13:04Z","timestamp":1741281184000},"page":"1221-1229","source":"Crossref","is-referenced-by-count":0,"title":["Nonlinear Audio-Integrated Active Noise Control Based on Psychoacoustic Gated Convolutional Recurrent Network"],"prefix":"10.1587","volume":"E108.A","author":[{"given":"Jun","family":"ZHANG","sequence":"first","affiliation":[{"name":"South China University of Technology"}]},{"given":"Weiwei","family":"DONG","sequence":"additional","affiliation":[{"name":"South China University of Technology"}]},{"given":"Yonglin","family":"WU","sequence":"additional","affiliation":[{"name":"South China University of Technology"}]},{"given":"Jiarong","family":"CHEN","sequence":"additional","affiliation":[{"name":"South China University of Technology"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] L. Lu, K.-L. Yin, R.C. de Lamare, Z. Zheng, Y. Yu, X. Yang, and B. Chen, \u201cA survey on active noise control in the past decade\u2006\u2014\u2006Part I: Linear systems,\u201d Signal Processing, vol.183, 108039, 2021. 10.1016\/j.sigpro.2021.108039","DOI":"10.1016\/j.sigpro.2021.108039"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] L. Lu, K.-L. Yin, R.C. de Lamare, Z. Zheng, Y. Yu, X. Yang, and B. Chen, \u201cA survey on active noise control in the past decade-Part II: Nonlinear systems,\u201d Signal Processing, vol.181, 107929, 2021. 10.1016\/j.sigpro.2020.107929","DOI":"10.1016\/j.sigpro.2020.107929"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] Y. Guo, D. Shi, X. Shen, J. Ji, and W.-S. Gan, \u201cA survey on adaptive active noise control algorithms overcoming the output saturation effect,\u201d Signal Processing, vol.22, 109525, 2024. 10.1016\/j.sigpro.2024.109525","DOI":"10.1016\/j.sigpro.2024.109525"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] S. Elliott, I. Stothers, and P. Nelson, \u201cA multiple error LMS algorithm and its application to the active control of sound and vibration,\u201d IEEE Trans. Acoust., Speech, Signal Process., vol.35, no.10, pp.1423-1434, 1987. 10.1109\/tassp.1987.1165044","DOI":"10.1109\/TASSP.1987.1165044"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] Z. Luo, D. Shi, X. Shen, J. Ji, and W.-S. Gan, \u201cGFANC-Kalman: Generative fixed-filter active noise control with CNN-Kalman filtering,\u201d IEEE Signal Process. Lett., vol.31, pp.276-280, 2024. 10.1109\/lsp.2023.3334695","DOI":"10.1109\/LSP.2023.3334695"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] D. Shi, W.-S. Gan, B. Lam, Z. Luo, and X. Shen, \u201cTransferable latent of CNN-based selective fixed-filter active noise control,\u201d IEEE\/ACM Trans. Audio, Speech, Language Process., vol.31, pp.2910-2921, 2023. 10.1109\/taslp.2023.3261757","DOI":"10.1109\/TASLP.2023.3261757"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] D. Shi, W.-S. Gan, X. Shen, Z. Luo, and J. Ji, \u201cWhat is behind the meta-learning initialization of adaptive filter?\u2006\u2014\u2006A naive method for accelerating convergence of adaptive multichannel active noise control,\u201d Neural Networks, vol.172, 106145, 2024. 10.1016\/j.neunet.2024.106145","DOI":"10.1016\/j.neunet.2024.106145"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] Z. Luo, D. Shi, J. Ji, X. Shen, and W.-S. Gan, \u201cReal-time implementation and explainable AI analysis of delayless CNN-based selective fixed-filter active noise control,\u201d Mechanical Systems and Signal Processing, vol.214, 111364, 2024. 10.1016\/j.ymssp.2024.111364","DOI":"10.1016\/j.ymssp.2024.111364"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] H. Zhang and D. Wang, \u201cDeep ANC: A deep learning approach to active noise control,\u201d Neural Networks, vol.141, pp.1-10, 2021. 10.1016\/j.neunet.2021.03.037","DOI":"10.1016\/j.neunet.2021.03.037"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] Y.J. Cha, A. Mostafavi, and S.S. Benipal, \u201cDNoiseNet: Deep learning-based feedback active noise control in various noisy environments,\u201d Engineering Applications of Artificial Intelligence, vol.121, 105971, 2023. 10.1016\/j.engappai.2023.105971","DOI":"10.1016\/j.engappai.2023.105971"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] H. Zhang, A. Pandey, and D.L. Wang, \u201cLow-latency active noise control using attentive recurrent network,\u201d IEEE\/ACM Trans. Audio, Speech, Language Process., vol.31, pp.1114-1123, 2023. 10.1109\/taslp.2023.3244528","DOI":"10.1109\/TASLP.2023.3244528"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] C.Y. Chang, A. Siswanto, C.Y. Ho, T.K. Yeh, Y.R. Chen, and S.M. Kuo, \u201cListening in a noisy environment: Integration of active noise control in audio products,\u201d IEEE Consum. Electron. Mag., vol.5, no.4, pp.34-43, 2016. 10.1109\/mce.2016.2590159","DOI":"10.1109\/MCE.2016.2590159"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] S.M. Kuo and B.M. Finn, \u201cAn integrated audio and active noise control system,\u201d 1993 IEEE International Symposium on Circuits and Systems, pp.2529-2532, 1993. 10.1109\/iscas.1993.394280","DOI":"10.1109\/ISCAS.1993.394280"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] A. Siswanto, C.Y. Chang, and S.M. Kuo, \u201cMultirate audio-integrated feedback active noise control systems using decimated-band adaptive filters for reducing narrowband noises,\u201d Sensors, vol.20, no.22, 6693, 2020. 10.3390\/s20226693","DOI":"10.3390\/s20226693"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] V. Belyi and W.S. Gan, \u201cIntegrated psychoacoustic active noise control and masking,\u201d Applied Acoustics, vol.145, pp.339-348, 2019. 10.1016\/j.apacoust.2018.10.027","DOI":"10.1016\/j.apacoust.2018.10.027"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] K. Iwai and T. Nishiura, \u201cAudio integrated active noise control system with auto gain controller,\u201d 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, pp.1819-1823, 2019. 10.1109\/apsipaasc47483.2019.9023148","DOI":"10.1109\/APSIPAASC47483.2019.9023148"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] K.P. Raghunathan, S.M. Kuo, and W.S. Gan, \u201cActive noise control for motorcycle helmets,\u201d 2010 International Conference on Green Circuits and Systems, IEEE, pp.170-174, 2010. 10.1109\/icgcs.2010.5543073","DOI":"10.1109\/ICGCS.2010.5543073"},{"key":"18","unstructured":"[18] S. Gujjula, \u201cReal-time audio-integrated active noise control system for infant incubators,\u201d Northern Illinois University, 2008."},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] A. Siswanto, C.Y. Chang, and S.M. Kuo, \u201cMultirate audio-integrated feedback active noise control systems using decimated-band adaptive filters for reducing narrowband noises,\u201d Sensors, vol.20, no.22, 6693, 2020. 10.3390\/s20226693","DOI":"10.3390\/s20226693"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] K. Tan and D. Wang, \u201cLearning complex spectral mapping with gated convolutional recurrent networks for monaural speech enhancement,\u201d IEEE\/ACM Trans. Audio, Speech, Language Process., vol.28, pp.380-390, 2019. 10.1109\/taslp.2019.2955276","DOI":"10.1109\/TASLP.2019.2955276"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] J.D. Johnston, \u201cTransform coding of audio signals using perceptual noise criteria,\u201d IEEE J. Sel. Areas Commun., vol.6, no.2, pp.314-323, 1988. 10.1109\/49.608","DOI":"10.1109\/49.608"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] A. Zerguine, J. Ahmad, M. Moinuddin, U.M. Al-Saggaf, and A.M. Zoubir, \u201cAn efficient normalized LMS algorithm,\u201d Nonlinear Dyn., vol.110, no.4, pp.3561-3579, 2022. 10.1007\/s11071-022-07773-0","DOI":"10.1007\/s11071-022-07773-0"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[23] M.A. Sahib, R. Kamil, and M.H. Marhaban, \u201cNonlinear FXLMS algorithm for active noise control systems with saturation nonlinearity,\u201d IEEJ Trans. EEE, vol.7, no.6, pp.598-606, 2012. 10.1002\/tee.21778","DOI":"10.1002\/tee.21778"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] J.B. Allen and D.A. Berkley, \u201cImage method for efficiently simulating small-room acoustics,\u201d J. Acoust. Soc. Am., vol.65, no.4, pp.943-950, 1979. 10.1121\/1.382599","DOI":"10.1121\/1.382599"},{"key":"25","unstructured":"[25] J. Garofolo, L. Lamel, W. Fisher, J. Fiscus, D. Pallett, and N. Dahlgren, \u201cDARPA, TIMIT: Acoustic-Phonetic Continuous Speech Corpus CD-ROM,\u201d National Institute of Standards and Technology, 1990. 10.6028\/nist.ir.4930"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] A. Mesaros, T. Heittola, and T. Virtanen, \u201cTUT database for acoustic scene classification and sound event detection,\u201d 2016 IEEE 24th European Signal Processing Conference (EUSIPCO), pp.1128-1132, 2016. 10.1109\/eusipco.2016.7760424","DOI":"10.1109\/EUSIPCO.2016.7760424"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] A. Varga and H.J.M. Steeneken, \u201cAssessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems,\u201d Speech Communication, vol.12, no.3, pp.247-251, 1993. 10.1016\/0167-6393(93)90095-3","DOI":"10.1016\/0167-6393(93)90095-3"},{"key":"28","doi-asserted-by":"publisher","unstructured":"[28] J.C. Burgess, \u201cActive adaptive sound control in a duct: A computer simulation,\u201d J. Acoust. Soc. Am., vol.70, no.3, pp.715-726, 1981. 10.1121\/1.386908","DOI":"10.1121\/1.386908"},{"key":"29","unstructured":"[29] I.T. Recommendation, \u201cPerceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs,\u201d Rec. ITU-T P.862, 2001."},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] C.H. Taal, R.C. Hendriks, R. Heusdens, and J. Jensen, \u201cA short-time objective intelligibility measure for time-frequency weighted noisy speech,\u201d 2010 IEEE international Conference on Acoustics, Speech and Signal Processing, pp.4214-4217, 2010. 10.1109\/icassp.2010.5495701","DOI":"10.1109\/ICASSP.2010.5495701"}],"container-title":["IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transfun\/E108.A\/9\/E108.A_2024EAP1138\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T03:34:40Z","timestamp":1757129680000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transfun\/E108.A\/9\/E108.A_2024EAP1138\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,1]]},"references-count":30,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.1587\/transfun.2024eap1138","relation":{},"ISSN":["0916-8508","1745-1337"],"issn-type":[{"type":"print","value":"0916-8508"},{"type":"electronic","value":"1745-1337"}],"subject":[],"published":{"date-parts":[[2025,9,1]]},"article-number":"2024EAP1138"}}