{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T13:53:43Z","timestamp":1791986023275,"version":"4.4.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:00:00Z","timestamp":1642032000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:00:00Z","timestamp":1642032000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s10772-021-09950-9","type":"journal-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:03:47Z","timestamp":1642032227000},"page":"269-277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Noise-robust speech recognition in mobile network based on convolution neural networks"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2070-5115","authenticated-orcid":false,"given":"Lallouani","family":"Bouchakour","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed","family":"Debyeche","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,13]]},"reference":[{"issue":"10","key":"9950_CR1","doi-asserted-by":"publisher","first-page":"1533","DOI":"10.1109\/TASLP.2014.2339736","volume":"22","author":"O Abdel-Hamid","year":"2014","unstructured":"Abdel-Hamid, O., Mohamed, A. R., Jiang, H., Deng, L., Penn, G., & Yu, D. (2014). Convolutional neural networks for speech recognition. IEEE\/ACM Transactions on Audio, Speech, and Language Processing, 22(10), 1533\u20131545. https:\/\/doi.org\/10.1109\/TASLP.2014.2339736","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"issue":"4","key":"9950_CR2","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/s10772-009-9025-9","volume":"10","author":"D Addou","year":"2007","unstructured":"Addou, D., Selouani, S. A., Kifaya, K., Boudraa, M., & Boudraa, B. (2007). A noise-robust front-end for distributed speech recognition in mobile communications. International Journal of Speech Technology, 10(4), 167\u2013173. https:\/\/doi.org\/10.1007\/s10772-009-9025-9","journal-title":"International Journal of Speech Technology"},{"key":"9950_CR4","first-page":"1","volume":"12","author":"L Bouchakour","year":"2018","unstructured":"Bouchakour, L., & Debyeche, M. (2018). Improving continuous Arabic speech recognition over mobile networks DSR and NSR using MFCCS features transformed. International Journal of Circuits, Systems and Signal Processing, 12, 1\u20138.","journal-title":"International Journal of Circuits, Systems and Signal Processing"},{"key":"9950_CR5","doi-asserted-by":"crossref","unstructured":"Chang, S. Y., & Morgan, N. (2014). Robust CNN-based speech recognition with Gabor filter kernels. In Fifteenth annual conference of the International Speech Communication Association.","DOI":"10.21437\/Interspeech.2014-226"},{"key":"9950_CR6","doi-asserted-by":"crossref","unstructured":"Choi, W., Park, S., Han, D. K., & Ko, H. (2015). Acoustic event recognition using dominant spectral basis vectors. In Sixteenth annual conference of the International Speech Communication Association (INTERSPEECH 2015)","DOI":"10.21437\/Interspeech.2015-440"},{"key":"9950_CR7","volume-title":"Neural networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles","author":"G Ciaburro","year":"2017","unstructured":"Ciaburro, G., & Venkateswaran, B. (2017). Neural networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles. Packt Publishing Ltd."},{"issue":"2","key":"9950_CR8","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1109\/TSA.2003.820201","volume":"12","author":"L Deng","year":"2004","unstructured":"Deng, L., Droppo, J., & Acero, A. (2004). Enhancement of log mel power spectra of speech using a phase-sensitive model of the acoustic environment and sequential estimation of the corrupting noise. IEEE Transactions on Speech and Audio Processing, 12(2), 133\u2013143. https:\/\/doi.org\/10.1109\/TSA.2003.820201","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"issue":"4","key":"9950_CR9","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1049\/iet-spr.2013.0392","volume":"9","author":"A Djamel","year":"2015","unstructured":"Djamel, A., & Sid-Ahmed, S. (2015). Optimisation of multiple feature stream weights for distributed speech processing in mobile environments. IET Signal Processing, 9(4), 387\u2013394.","journal-title":"IET Signal Processing"},{"key":"9950_CR10","doi-asserted-by":"publisher","unstructured":"Han, W., Chan, C. F., Choy, C. S., & Pun, K. P. (2006, May). An efficient Mfcc extraction method in speech recognition. In 2006 IEEE international symposium on circuits and systems (p. 4). https:\/\/doi.org\/10.1109\/ISCAS.2006.1692543","DOI":"10.1109\/ISCAS.2006.1692543"},{"key":"9950_CR12","volume-title":"Speech synthesis and recognition","author":"W Holmes","year":"2001","unstructured":"Holmes, W. (2001). Speech synthesis and recognition. CRC Press."},{"key":"9950_CR13","unstructured":"Ittichaichareon, C., Suksri, S., & Yingthawornsuk, T. (2012, July). Speech recognition using MFCC. In International conference on computer graphics, simulation and modeling (pp. 135\u2013138)."},{"key":"9950_CR14","doi-asserted-by":"publisher","unstructured":"Kolossa, D., & Haeb-Umbach, R. (Eds.). (2011). Robust speech recognition of uncertain or missing data: Theory and applications. Springer. https:\/\/doi.org\/10.1007\/978-3-642-21317-5","DOI":"10.1007\/978-3-642-21317-5"},{"key":"9950_CR15","doi-asserted-by":"crossref","unstructured":"Narayanan, A., & Wang, D. (2013, May). Ideal ratio mask estimation using deep neural networks for robust speech recognition. In 2013 IEEE international conference on acoustics, speech and signal processing (pp. 7092\u20137096)","DOI":"10.1109\/ICASSP.2013.6639038"},{"issue":"4","key":"9950_CR16","doi-asserted-by":"publisher","first-page":"826","DOI":"10.1109\/TASLP.2014.2305833","volume":"22","author":"A Narayanan","year":"2014","unstructured":"Narayanan, A., & Wang, D. (2014). Investigation of speech separation as a front-end for noise robust speech recognition. IEEE\/ACM Transactions on Audio, Speech, and Language Processing, 22(4), 826\u2013835.","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"issue":"11","key":"9950_CR17","doi-asserted-by":"publisher","first-page":"2043","DOI":"10.1109\/TASLP.2018.2851151","volume":"26","author":"S Nie","year":"2018","unstructured":"Nie, S., Liang, S., Liu, W., Zhang, X., & Tao, J. (2018). Deep learning based speech separation via Nmf-style reconstructions. IEEE\/ACM Transactions on Audio, Speech, and Language Processing, 26(11), 2043\u20132055.","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"key":"9950_CR18","doi-asserted-by":"publisher","DOI":"10.1002\/0470024720","volume-title":"Speech recognition over digital channels: Robustness and standards","author":"A Peinado","year":"2006","unstructured":"Peinado, A., & Segura, J. (2006). Speech recognition over digital channels: Robustness and standards. Wiley."},{"key":"9950_CR19","doi-asserted-by":"crossref","unstructured":"Rennie, S. J., Hershey, J. R., & Olsen, P. A. (2008, March). Efficient model-based speech separation and denoising using non-negative subspace analysis. In 2008 IEEE international conference on acoustics, speech and signal processing (pp. 1833\u20131836). IEEE.","DOI":"10.1109\/ICASSP.2008.4517989"},{"key":"9950_CR20","doi-asserted-by":"crossref","unstructured":"Rohlfing, C., Becker, J. M., & Wien, M. (2016, March). Nmf-based informed source separation. In 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 474\u2013478). IEEE.","DOI":"10.1109\/ICASSP.2016.7471720"},{"key":"9950_CR21","doi-asserted-by":"crossref","unstructured":"Schmidt, M. N., & Olsson, R. K. (2006). Single-channel speech separation using sparse non-negative matrix factorization. In Ninth international conference on spoken language processing.","DOI":"10.21437\/Interspeech.2006-655"},{"issue":"3","key":"9950_CR23","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1109\/TASL.2006.885253","volume":"15","author":"T Virtanen","year":"2007","unstructured":"Virtanen, T. (2007). Monaural sound source separation by nonnegative matrix factorization with temporal continuity and sparseness criteria. IEEE Transactions on Audio, Speech, and Language Processing, 15(3), 1066\u20131074. https:\/\/doi.org\/10.1109\/TASL.2006.885253","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"key":"9950_CR22","doi-asserted-by":"crossref","unstructured":"Virtanen, T., Singh, R., & Raj, B. (Eds.). (2012). Techniques for noise robustness in automatic speech recognition (pp. 251\u2013322). Wiley.","DOI":"10.1002\/9781118392683"},{"key":"9950_CR24","doi-asserted-by":"publisher","unstructured":"Wang, D. (2005). On ideal binary mask as the computational goal of auditory scene analysis. In Speech separation by humans and machines (pp. 181\u2013197). Springer. https:\/\/doi.org\/10.1007\/0-387-22794-6_12","DOI":"10.1007\/0-387-22794-6_12"},{"issue":"12","key":"9950_CR25","doi-asserted-by":"publisher","first-page":"1849","DOI":"10.1109\/TASLP.2014.2352935","volume":"22","author":"Y Wang","year":"2014","unstructured":"Wang, Y., Narayanan, A., & Wang, D. (2014). On training targets for supervised speech separation. IEEE\/ACM Transactions on Audio, Speech, and Language Processing, 22(12), 1849\u20131858. https:\/\/doi.org\/10.1109\/TASLP.2014.2352935","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"key":"9950_CR26","doi-asserted-by":"publisher","unstructured":"Weiss, R. J., & Ellis, D. P. (2006). Estimating single-channel source separation masks: Relevance vector machine classifiers vs. pitch-based masking. In Proceedings of ISCA tutorial and research workshop on statistical and perceptual audition (SAPA) (pp. 31\u201336). https:\/\/doi.org\/10.7916\/D83F501S","DOI":"10.7916\/D83F501S"}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-021-09950-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10772-021-09950-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-021-09950-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T18:41:53Z","timestamp":1647369713000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10772-021-09950-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,13]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["9950"],"URL":"https:\/\/doi.org\/10.1007\/s10772-021-09950-9","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,13]]},"assertion":[{"value":"12 July 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 November 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}