{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:09:14Z","timestamp":1742990954923,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":36,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811536847"},{"type":"electronic","value":"9789811536854"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-3685-4_4","type":"book-chapter","created":{"date-parts":[[2020,5,20]],"date-time":"2020-05-20T15:19:49Z","timestamp":1589987989000},"page":"97-129","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Automated Development of DNN Based Spoken Language Systems Using Evolutionary Algorithms"],"prefix":"10.1007","author":[{"given":"Takahiro","family":"Shinozaki","sequence":"first","affiliation":[]},{"given":"Shinji","family":"Watanabe","sequence":"additional","affiliation":[]},{"given":"Kevin","family":"Duh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,21]]},"reference":[{"issue":"4","key":"4_CR1","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1109\/TASSP.1980.1163420","volume":"28","author":"SB Davis","year":"1980","unstructured":"Davis, S.B., Mermelstein, P.: Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. Acoust. Speech Signal Process. 28(4), 357\u2013366 (1980)","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"issue":"4","key":"4_CR2","doi-asserted-by":"publisher","first-page":"1738","DOI":"10.1121\/1.399423","volume":"87","author":"H Hermansky","year":"1990","unstructured":"Hermansky, H.: Perceptual linear predictive (PLP) analysis of speech. J. Acoust. Soc. Am. 87(4), 1738\u20131752 (1990)","journal-title":"J. Acoust. Soc. Am."},{"key":"4_CR3","unstructured":"Odell, J.J.: The use of context in large vocabulary speech recognition, Ph.D. Thesis, Cambridge University (1995)"},{"key":"4_CR4","unstructured":"Chorowski, J.K., Bahdanau, D., Serdyuk, D., Cho, K., Bengio, Y.: Attention-based models for speech recognition. In: Advances in Neural Information Processing Systems (NeurIPS), pp. 577\u2013585 (2015)"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Graves, A., Mohamed, A.-R., Hinton, G.: Speech recognition with deep recurrent neural networks. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6645\u20136649. IEEE, Piscataway (2013)","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"4_CR6","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems (NeurIPS), pp. 3104\u20133112 (2014)"},{"key":"4_CR7","unstructured":"Vinyals, O., Le, Q.: A neural conversational model. Preprint. arXiv:1506.05869 (2015)"},{"key":"4_CR8","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. Preprint. arXiv:1409.0473 (2014)"},{"key":"4_CR9","doi-asserted-by":"publisher","DOI":"10.1515\/9781400874651","volume-title":"Applied Dynamic Programming","author":"RE Bellman","year":"1962","unstructured":"Bellman, R.E., Dreyfus, S.E.: Applied Dynamic Programming. Princeton University Press, Princeton (1962)"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.-J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, Stroudsburg, ACL \u201902, pp. 311\u2013318. Association for Computational Linguistics, Stroudsburg (2002)","DOI":"10.3115\/1073083.1073135"},{"issue":"1","key":"4_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/106365603321828970","volume":"11","author":"N Hansen","year":"2003","unstructured":"Hansen, N., M\u00fcller, S.D., Koumoutsakos, P.: Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evol. Comput. 11(1), 1\u201318 (2003)","journal-title":"Evol. Comput."},{"issue":"1","key":"4_CR12","first-page":"949","volume":"15","author":"D Wierstra","year":"2014","unstructured":"Wierstra, D., Schaul, T., Glasmachers, T., Sun, Y., Peters, J., Schmidhuber, J.: Natural evolution strategies. J. Mach. Learn. Res. 15(1), 949\u2013980 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"4_CR13","first-page":"154","volume-title":"Parallel Problem Solving from Nature, PPSN XI","author":"Youhei Akimoto","year":"2010","unstructured":"Akimoto, Y., Nagata, Y., Ono, I., Kobayashi, S.: Bidirectional relation between CMA evolution strategies and natural evolution strategies. In: Proceedings of Parallel Problem Solving from Nature (PPSN), pp. 154\u2013163 (2010)"},{"key":"4_CR14","unstructured":"Sutton, R.S., McAllester, D., Singh, S., Mansour, Y.: Policy gradient methods for reinforcement learning with function approximation. In: Proceedings of the 12th International Conference on Neural Information Processing Systems, NIPS\u201999, pp. 1057\u20131063 (1999)"},{"key":"4_CR15","unstructured":"Brochu, E., Cora, V.M., De Freitas, N.: A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. Preprint. arXiv:1012.2599 (2010)"},{"key":"4_CR16","unstructured":"Snoek, J., Larochelle, H., Adams, R.P.: Practical Bayesian optimization of machine learning algorithms. In: Advances in Neural Information Processing Systems 25 (2012)"},{"key":"4_CR17","volume-title":"Gaussian Processes for Machine Learning","author":"CE Rasmussen","year":"2006","unstructured":"Rasmussen, C.E., Williams, C.K.I.: Gaussian Processes for Machine Learning. MIT Press, Cambridge (2006)"},{"key":"4_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5563-6","volume-title":"Nonlinear Multiobjective Optimization","author":"K Miettinen","year":"1998","unstructured":"Miettinen, K.: Nonlinear Multiobjective Optimization. Springer, Berlin (1998)"},{"issue":"2","key":"4_CR19","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"4_CR20","volume-title":"Multi-Objective Optimization Using Evolutionary Algorithms","author":"K Deb","year":"2001","unstructured":"Deb, K., Kalyanmoy, D.: Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Inc., New York (2001)"},{"issue":"4","key":"4_CR21","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/4235.797969","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Trans. Evol. Comput. 3(4), 257\u2013271 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"4_CR22","unstructured":"David Schaffer, J.: Multiple objective optimization with vector evaluated genetic algorithms. In: Proceedings of the 1st International Conference on Genetic Algorithms, Hillsdale, pp. 93\u2013100. L. Erlbaum Associates Inc., Mahwah (1985)"},{"issue":"2","key":"4_CR23","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/BF01759923","volume":"4","author":"P Hajela","year":"1992","unstructured":"Hajela, P., Lin, C.Y.: Genetic search strategies in multicriterion optimal design. Struct. Optim. 4(2), 99\u2013107 (1992)","journal-title":"Struct. Optim."},{"key":"4_CR24","first-page":"1492","volume":"48","author":"D Hernandez-Lobato","year":"2016","unstructured":"Hernandez-Lobato, D., Hernandez-Lobato, J., Shah, A., Adams, R.: Predictive entropy search for multi-objective Bayesian optimization. In: Balcan, M.F., Weinberger, K.Q. (eds.) Proceedings of The 33rd International Conference on Machine Learning, New York, 20\u201322 Jun. Proceedings of Machine Learning Research, vol. 48, pp. 1492\u20131501 (2016)","journal-title":"Proceedings of Machine Learning Research"},{"issue":"1","key":"4_CR25","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TEVC.2005.851274","volume":"10","author":"J Knowles","year":"2006","unstructured":"Knowles, J.: ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems. IEEE Trans. Evol. Comput. 10(1), 50\u201366 (2006)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"4_CR26","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1109\/TASLP.2018.2871755","volume":"27","author":"T Moriya","year":"2019","unstructured":"Moriya, T., Tanaka, T., Shinozaki, T., Watanabe, S., Duh, K.: Evolution-strategy-based automation of system development for high-performance speech recognition. IEEE\/ACM Trans. Audio Speech Lang. Process. 27(1), 77\u201388 (2019)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"4_CR27","unstructured":"Furui, S., Maekawa, K., Isahara, H.: A Japanese national project on spontaneous speech corpus and processing technology. In: Proceedings of ASR\u201900, pp. 244\u2013248 (2000)"},{"key":"4_CR28","doi-asserted-by":"crossref","unstructured":"Allauzen, C., Riley, M., Schalkwyk, J., Skut, W., Mohri, M.: OpenFST: a general and efficient weighted finite-state transducer library. In: Implementation and Application of Automata, pp. 11\u201323. Sprinter, Berlin (2007)","DOI":"10.1007\/978-3-540-76336-9_3"},{"key":"4_CR29","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TASSP.1986.1164788","volume":"34","author":"S Furui","year":"1986","unstructured":"Furui, S.: Speaker independent isolated word recognition using dynamic features of speech spectrum. IEEE Trans. Acoustics Speech Signal Process. 34, 52\u201359 (1986)","journal-title":"IEEE Trans. Acoustics Speech Signal Process."},{"key":"4_CR30","first-page":"13","volume":"1","author":"R Haeb-Umbach","year":"1992","unstructured":"Haeb-Umbach, R., Ney, H.: Linear discriminant analysis for improved large vocabulary continuous speech recognition. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing, vol. 1, pp. 13\u201316 (1992)","journal-title":"In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing"},{"key":"4_CR31","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1006\/csla.1998.0043","volume":"12","author":"MJF Gales","year":"1998","unstructured":"Gales, M.J.F.: Maximum likelihood linear transformations for HMM-based speech recognition. Comput. Speech Lang. 12, 75\u201398 (1998)","journal-title":"Comput. Speech Lang."},{"key":"4_CR32","doi-asserted-by":"crossref","unstructured":"Povey, D., Peddinti, V., Galvez, D., Ghahremani, P., Manohar, V., Na, X., Wang, Y., Khudanpur, S.: Purely sequence-trained neural networks for ASR based on lattice-free MMI. In: Interspeech, pp. 2751\u20132755 (2016)","DOI":"10.21437\/Interspeech.2016-595"},{"key":"4_CR33","unstructured":"Gillick, L., Cox, S.: Some statistical issues in the comparison of speech recognition algorithms. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing, pp. 532\u2013535 (1989)"},{"key":"4_CR34","doi-asserted-by":"crossref","unstructured":"Vesely, K., Ghoshal, A., Burget, L., Povey, D.: Sequence-discriminative training of deep neural networks. In: Proceedings of Interspeech, pp. 2345\u20132349 (2013)","DOI":"10.21437\/Interspeech.2013-548"},{"key":"4_CR35","doi-asserted-by":"crossref","unstructured":"Tanaka, T., Moriya, T., Shinozaki, T., Watanabe, S., Hori, T., Duh, K.: Automated structure discovery and parameter tuning of neural network language model based on evolution strategy. In: Proceedings of the 2016 IEEE Workshop on Spoken Language Technology, pp. 665\u2013671 (2016)","DOI":"10.1109\/SLT.2016.7846334"},{"key":"4_CR36","unstructured":"Qin, H., Shinozaki, T., Duh, K.: Evolution strategy based automatic tuning of neural machine translation systems. In: Proceeding of International Workshop on Spoken Language Translation (IWSLT), pp. 120\u2013128 (2017)"}],"container-title":["Natural Computing Series","Deep Neural Evolution"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3685-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,24]],"date-time":"2022-10-24T10:54:44Z","timestamp":1666608884000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3685-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811536847","9789811536854"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3685-4_4","relation":{},"ISSN":["1619-7127"],"issn-type":[{"type":"print","value":"1619-7127"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"21 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}