{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T09:21:37Z","timestamp":1725873697055},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811031588"},{"type":"electronic","value":"9789811031595"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-981-10-3159-5_14","type":"book-chapter","created":{"date-parts":[[2016,12,8]],"date-time":"2016-12-08T15:29:29Z","timestamp":1481210969000},"page":"149-156","source":"Crossref","is-referenced-by-count":0,"title":["Monaural Speech Separation on Many Integrated Core Architecture"],"prefix":"10.1007","author":[{"given":"Wang","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Weixia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guan","family":"Naiyang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Canqun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,12,9]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Vinyals, O., Ravuri, S.V., Povey, D.: Revisiting recurrent neural networks for robust ASR. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 4085\u20134088 (2012)","DOI":"10.1109\/ICASSP.2012.6288816"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Maas, A., Le, Q.V., Oneil, T.M., Vinyals, O., Nguyen, P., Ng, A.Y.: Recurrent neural networks for noise reduction in robust ASR (2012)","DOI":"10.21437\/Interspeech.2012-6"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Huang, P.S., Chen, S.D., Smaragdis, P., Hasegawa-Johnson, M.: Singing-voice separation from monaural recordings using robust principal component analysis. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 57\u201360. IEEE (2012)","DOI":"10.1109\/ICASSP.2012.6287816"},{"key":"14_CR4","unstructured":"Huang, P.S., Kim, M., Hasegawa-Johnson, M., Smaragdis, P.: Singing-voice separation from monaural recordings using deep recurrent neural networks. In: ISMIR, pp. 477\u2013482 (2014)"},{"issue":"6755","key":"14_CR5","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788\u2013791 (1999)","journal-title":"Nature"},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Wang, Z., Sha, F.: Discriminative non-negative matrix factorization for single-channel speech separation. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3749\u20133753. IEEE (2014)","DOI":"10.1109\/ICASSP.2014.6854302"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Weninger, F., Le Roux, J., Hershey, J.R., Watanabe, S.: Discriminative nmf and its application to single-channel source separation. In: INTERSPEECH, pp. 865\u2013869 (2014)","DOI":"10.21437\/Interspeech.2014-218"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Huang, P.-S., Kim, M., Hasegawa-Johnson, M., Smaragdis, P.: Deep learning for monaural speech separation. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1562\u20131566. IEEE (2014)","DOI":"10.1109\/ICASSP.2014.6853860"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Weninger, F., Hershey, J.R., Le Roux, J., Schuller, B.: Discriminatively trained recurrent neural networks for single-channel speech separation. In: 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 577\u2013581. IEEE (2014)","DOI":"10.1109\/GlobalSIP.2014.7032183"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Erdogan, H., Hershey, J.R., Watanabe, S., Le Roux, J.: Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks. In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 708\u2013712. IEEE (2015)","DOI":"10.1109\/ICASSP.2015.7178061"},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Weninger, F., Eyben, F., Schuller, B.: Single-channel speech separation with memory-enhanced recurrent neural networks. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3709\u20133713. IEEE (2014)","DOI":"10.1109\/ICASSP.2014.6854294"},{"issue":"5","key":"14_CR12","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1109\/TASLP.2016.2536478","volume":"24","author":"X-L Zhang","year":"2016","unstructured":"Zhang, X.-L., Wang, D.: A deep ensemble learning method for monaural speech separation. IEEE\/ACM Trans. Audio Speech Lang. Process. 24(5), 967\u2013977 (2016)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Duran, A., Klemm, M.: The intel many integrated core architecture. In: 2012 International Conference on High Performance Computing and Simulation (HPCS), pp. 365\u2013366. IEEE (2012)","DOI":"10.1109\/HPCSim.2012.6266938"},{"key":"14_CR14","doi-asserted-by":"crossref","unstructured":"Jeffers, J., Reinders, J.: Intel Xeon Phi coprocessor high-performance programming. Newnes (2013)","DOI":"10.1016\/B978-0-12-410414-3.00010-4"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Tarditi, D., Puri, S., Oglesby, J.: Accelerator: using data parallelism to program gpus for general-purpose uses. In: ACM SIGARCH Computer Architecture News, vol. 34, no. 5, pp. 325\u2013335. ACM (2006)","DOI":"10.1145\/1168857.1168898"},{"issue":"4","key":"14_CR16","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1145\/1594835.1504194","volume":"44","author":"S Lee","year":"2009","unstructured":"Lee, S., Min, S.-J., Eigenmann, R.: OpenMP to GPGPU: a compiler framework for automatic translation and optimization. ACM Sigplan Not. 44(4), 101\u2013110 (2009)","journal-title":"ACM Sigplan Not."},{"key":"14_CR17","series-title":"Communications in Computer and Information Science","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-3-642-14292-5_4","volume-title":"Networked Digital Technologies","author":"J Plato\u0161","year":"2010","unstructured":"Plato\u0161, J., Gajdo\u0161, P., Kr\u00f6mer, P., Sn\u00e1\u0161el, V.: Non-negative matrix factorization on GPU. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds.) Networked Digital Technologies. Communications in Computer and Information Science, vol. 87, pp. 21\u201330. Springer, Heidelberg (2010)"},{"issue":"1","key":"14_CR18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12859-015-0485-4","volume":"16","author":"E Mej\u00eda-Roa","year":"2015","unstructured":"Mej\u00eda-Roa, E., Tabas-Madrid, D., Setoain, J., Garc\u00eda, C., Tirado, F., Pascual-Montano, A.: NMF-mGPU: non-negative matrix factorization on multi-GPU systems. BMC Bioinf. 16(1), 1 (2015)","journal-title":"BMC Bioinf."},{"issue":"2","key":"14_CR19","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1007\/s11227-013-1083-8","volume":"70","author":"P Alonso","year":"2014","unstructured":"Alonso, P., Garc\u00eda, V., Mart\u00ednez-Zald\u00edvar, F.J., Salazar, A., Vergara, L., Vidal, A.M.: Parallel approach to NNMF on multicore architecture. J. Supercomput. 70(2), 564\u2013576 (2014)","journal-title":"J. Supercomput."},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Guan, N., Lan, L., Tao, D., Luo, Z., Yang, X.: Transductive nonnegative matrix factorization for semi-supervised high-performance speech separation. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2534\u20132538. IEEE (2014)","DOI":"10.1109\/ICASSP.2014.6854057"},{"key":"14_CR21","unstructured":"Lee, D.D., Seung, H.S.: Algorithms for non-negative matrix factorization. In: Advances in Neural Information Processing Systems, pp. 556\u2013562 (2001)"},{"key":"14_CR22","unstructured":"Chrysos, G.: Intel xeon phi coprocessor-the architecture, Intel Whitepaper (2014)"},{"key":"14_CR23","doi-asserted-by":"crossref","unstructured":"Garofolo, J.S., Lamel, L.F., Fisher, W.M., Fiscus, J.G., Pallett, D.S.: DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM. NIST speech disc 1-1.1. NASA STI\/Recon technical report n, vol. 93 (1993)","DOI":"10.6028\/NIST.IR.4930"},{"key":"14_CR24","unstructured":"Intel, M.: Intel math kernel library (2007)"}],"container-title":["Communications in Computer and Information Science","Computer Engineering and Technology"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-3159-5_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,16]],"date-time":"2022-07-16T17:11:36Z","timestamp":1657991496000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-3159-5_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9789811031588","9789811031595"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-3159-5_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2016]]}}}