{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,23]],"date-time":"2024-06-23T23:40:10Z","timestamp":1719186010783},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,5,4]],"date-time":"2017-05-04T00:00:00Z","timestamp":1493856000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2017,6]]},"DOI":"10.1007\/s10772-017-9410-8","type":"journal-article","created":{"date-parts":[[2017,5,4]],"date-time":"2017-05-04T13:34:36Z","timestamp":1493904876000},"page":"387-416","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Supervector-based approaches in a discriminative framework for speaker verification in noisy environments"],"prefix":"10.1007","volume":"20","author":[{"given":"Sourjya","family":"Sarkar","sequence":"first","affiliation":[]},{"given":"K. Sreenivasa","family":"Rao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,4]]},"reference":[{"key":"9410_CR1","doi-asserted-by":"crossref","unstructured":"Akbani, R., Kwek, S., & Japkowicz, N. (2004). Applying support vector machines to imbalanced datasets. In Proceedings of the 15th European conference on machine learning, Pisa, Italy (vol. 3201, pp. 39\u201350).","DOI":"10.1007\/978-3-540-30115-8_7"},{"key":"9410_CR2","volume-title":"Pattern recognition and machine learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C. M. (2006). Pattern recognition and machine learning. New Delhi: Springer."},{"issue":"5","key":"9410_CR3","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1109\/LSP.2006.870086","volume":"13","author":"W Campbell","year":"2006","unstructured":"Campbell, W., Campbell, J., & Reynolds, D. (2006a). Support vector machines using GMM supervectors for speaker verification. IEEE Signal Processing Letters, 13(5), 308\u2013311.","journal-title":"IEEE Signal Processing Letters"},{"issue":"2\u20133","key":"9410_CR4","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.csl.2005.06.003","volume":"20","author":"W Campbell","year":"2006","unstructured":"Campbell, W., Campbell, J., Reynolds, D., Singer, E., & Carrasquillo, P. (2006b). Support vector machines for speaker and language recognition. Computer Speech & Language, 20(2\u20133), 210\u2013229.","journal-title":"Computer Speech & Language"},{"key":"9410_CR5","unstructured":"Chawla, N., Bowyer, K., Hall, L., & Kegelmeyer, W.\u00a0P. (2000). SMOTE: Synthetic minority over-sampling technique. In International conference on knowledge based computer systems, Mumbai, India."},{"key":"9410_CR6","doi-asserted-by":"crossref","unstructured":"Chawla, N., Lazarevic, A., Hall, L., & Bowyer, K. (2003). SMOTEBoost: Improving prediction of the minority class in boosting. In 7th European conference on principles and practice of knowledge discovery in databases, Cavtat-Dubrovnik, Croatia.","DOI":"10.1007\/978-3-540-39804-2_12"},{"issue":"10","key":"9410_CR7","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1016\/S0031-3203(99)00139-9","volume":"33","author":"LF Chen","year":"2000","unstructured":"Chen, L. F., Liao, H. Y. M., Ko, M. T., Lin, J. C., & Yu, G. J. (2000). A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognition, 33(10), 1713\u20131726.","journal-title":"Pattern Recognition"},{"issue":"4","key":"9410_CR8","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1109\/TASSP.1980.1163420","volume":"28","author":"S Davis","year":"1980","unstructured":"Davis, S., & Mermelstein, P. (1980). Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Transactions on Acoustics Speech and Signal Processing, 28(4), 357\u2013366.","journal-title":"IEEE Transactions on Acoustics Speech and Signal Processing"},{"key":"9410_CR11","doi-asserted-by":"crossref","unstructured":"Dehak, N., Dehak, R., Kenny, P., Brummer, N., Ouellet, P., & Dumouchel, P. (2009a). Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification. In Proceeding of the 10th annual conference of the international speech communication association (INTERSPEECH \u201909), Brighton.","DOI":"10.21437\/Interspeech.2009-385"},{"key":"9410_CR10","doi-asserted-by":"crossref","unstructured":"Dehak, N., Kenny, P., Dehak, R., Glembek, O., Dumouchel, P., Burget, L., Hubeika, V., & Castaldo, F. (2009b). Support vector machines and joint factor analysis for speaker verification. In Proceedings of IEEE International conference on acoustics, speech and signal processing (ICASSP \u201909), Brighton (pp. 4237\u20134240).","DOI":"10.1109\/ICASSP.2009.4960564"},{"issue":"4","key":"9410_CR9","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1109\/TASL.2010.2064307","volume":"19","author":"N Dehak","year":"2011","unstructured":"Dehak, N., Kenny, P. J., Dehak, R., Dumouchel, P., & Ouellet, P. (2011). Front-end factor analysis for speaker verification. IEEE Transactions on Audio, Speech, and Language Processing, 19(4), 788\u2013798.","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"key":"9410_CR12","doi-asserted-by":"crossref","unstructured":"Doddington, G. (2001). Speaker recognition based on idiolectal differences between speakers. In Proceedings of the European conference of speech communication technology (EUROSPEECH \u201901), Aalborg, Denmark (pp. 2521\u20132524).","DOI":"10.21437\/Eurospeech.2001-417"},{"key":"9410_CR13","doi-asserted-by":"crossref","unstructured":"Du, S., Xiao, X., & Chng, E. S. (2015). Dnn feature compensation for noise robust speaker verification. In IEEE China summit and international conference on signal and information processing (ChinaSIP), Chengdu, China (pp. 871\u2013875).","DOI":"10.1109\/ChinaSIP.2015.7230529"},{"key":"9410_CR14","unstructured":"Fauve, B., Evans, N., & Mason, J. (2008). Improving the performance of text-independent short duration SVM- and GMM-based speaker verification. In Workshop on speaker and language recognition (Odyssey), Stellenbosch, South Africa."},{"key":"9410_CR15","unstructured":"Freund, Y., & \u00a0Schapire, R. (1996). Experiments with a new boosting algorithm. In Proceedings of thirteenth international conference on machine learning (ICML \u201996), Bari, Italy."},{"key":"9410_CR16","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1006\/csla.1995.0014","volume":"9","author":"MJF Gales","year":"1995","unstructured":"Gales, M. J. F., & Young, S. J. (1995). Robust speech recognition in additive and convolutional noise using parallel model combination. Computer Speech & Language, 9, 289\u2013307.","journal-title":"Computer Speech & Language"},{"issue":"2","key":"9410_CR17","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1109\/89.279278","volume":"2","author":"J Gauvain","year":"1994","unstructured":"Gauvain, J., & Lee, C. (1994). Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains. IEEE Transactions on Speech and Audio Processing, 2(2), 291\u2013298.","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"key":"9410_CR18","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1145\/1007730.1007736","volume":"6","author":"H Guo","year":"2004","unstructured":"Guo, H., & Viktor, H. L. (2004). Learning from imbalanced data sets with boosting and data generation: The DataBoost-IM approach. ACM SIGKDD Explorations Newsletter: Special issue on Learning from Imbalanced Datasets, 6, 30\u201339.","journal-title":"ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets"},{"key":"9410_CR19","unstructured":"Hatch, A.\u00a0O., Kajarekar, S., & \u00a0Stolcke, A. (2005). Within-class covariance normalization for SVM-based speaker recognition. In Proceedings of the international conference of spoken language processing (ICSLP \u201905), Juju Island, Korea."},{"key":"9410_CR20","doi-asserted-by":"crossref","unstructured":"Kanagasundaram, A., Vogt, R., Dean, D., Sridharan, S., & Mason, M. (2011). i-Vector based speaker recognition on short utterances. In Processdings of the 12th annual conference of the international speech communication association (INTERSPEECH \u201911), Florence, Italy.","DOI":"10.21437\/Interspeech.2011-58"},{"key":"9410_CR21","doi-asserted-by":"crossref","unstructured":"Kang, P., & Cho, S. (2006). EUS SVMs: Ensemble of under-sampled SVMs for data imbalance problems. In ICONIP (1) (pp. 837\u2013846), Hong Kong, China.","DOI":"10.1007\/11893028_93"},{"issue":"3","key":"9410_CR22","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1109\/TSA.2004.840940","volume":"13","author":"P Kenny","year":"2005","unstructured":"Kenny, P., Boulianne, G., & Dumouchel, P. (2005a). Eigenvoice modeling with sparse training data. IEEE Transactions on Speech and Audio Processing, 13(3), 345\u2013354.","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"key":"9410_CR26","doi-asserted-by":"crossref","unstructured":"Kenny, P., Boulianne, G., Ouellet, P., & Dumouchel, P. (2005b). Factor analysis simplified. In Proceedings of the IEEE international conference on acoustics speech and signal processing (ICASSP \u201905), Philadelphia, PA (vol.\u00a01, pp. 637\u2013640).","DOI":"10.1109\/ICASSP.2005.1415194"},{"issue":"4","key":"9410_CR23","doi-asserted-by":"crossref","first-page":"1435","DOI":"10.1109\/TASL.2006.881693","volume":"15","author":"P Kenny","year":"2007","unstructured":"Kenny, P., Boulianne, G., Ouellet, P., & Dumouchel, P. (2007a). Joint factor analysis versus eigenchannels in speaker recognition. IEEE Transactions on Audio, Speech and Language Processing, 15(4), 1435\u20131447.","journal-title":"IEEE Transactions on Audio, Speech and Language Processing"},{"issue":"4","key":"9410_CR24","doi-asserted-by":"crossref","first-page":"1448","DOI":"10.1109\/TASL.2007.894527","volume":"15","author":"P Kenny","year":"2007","unstructured":"Kenny, P., Boulianne, G., Ouellet, P., & Dumouchel, P. (2007b). Speaker and session variability in GMM-based speaker verification. IEEE Transactions on Audio, Speech, and Language Processing, 15(4), 1448\u20131460.","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"key":"9410_CR25","doi-asserted-by":"crossref","unstructured":"Kenny, P., Stafylakis, T., Ouellet, P., Alam, M.\u00a0J., & Dumouchel, P. (2013). for speaker verification with utterances of arbitrary duration. In Proceedings of 38th international conference on acoustics, speech, and signal processing (ICASSP \u201913), Vancouver, Canada.","DOI":"10.1109\/ICASSP.2013.6639151"},{"key":"9410_CR27","unstructured":"Kheder, W.\u00a0B., Matrouf, D., Ajili, M., & Bonastre, J. -F. (2014). Probabilistic approach using joint clean and noisy i-vectors modeling for speaker recognition. In Interspeech-2016, Sydney, Australia."},{"key":"9410_CR28","doi-asserted-by":"crossref","unstructured":"Lei, Y., Burget, L., Ferrer, L., Graciarena, M. & Scheffer, N. (2012). Towards noise-robust speaker recognition using probabilistic linear discriminant analysis. In ICASSP-2012 (pp. 4253\u20134256), Kyoto, Japan.","DOI":"10.1109\/ICASSP.2012.6288858"},{"key":"9410_CR29","doi-asserted-by":"crossref","unstructured":"Lin, Z., Hao, Z., Yang, X., & Liu, X. (2009). Several SVM ensemble methods integrated with under-sampling for imbalanced data learning. In Advanced data mining and applications (pp. 536\u2013544), Beijing, China.","DOI":"10.1007\/978-3-642-03348-3_54"},{"issue":"1","key":"9410_CR30","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.specom.2010.06.011","volume":"53","author":"MW Mak","year":"2011","unstructured":"Mak, M. W., & Rao, W. (2011). Utterance partitioning with acoustic vector resampling for GMM-SVM speaker verification. Speech Communication, 53(1), 119\u2013130.","journal-title":"Speech Communication"},{"key":"9410_CR31","doi-asserted-by":"crossref","unstructured":"Martin, A., Doddington, G., Kamm, T., Ordowski, M., & Przybocki, M. (1997). The DET curve in asssessment of detection task performance. In Proceedings of the European conference of speech communication technology (EUROSPEECH \u201997) (pp. 1895\u20131898), Rhodes, Greece.","DOI":"10.21437\/Eurospeech.1997-504"},{"key":"9410_CR32","doi-asserted-by":"crossref","unstructured":"McLaren, M., Lei, Y., Scheffer, N., & Ferrer, L. (2014). Application of convolutional neural networks to speaker recognition in noisy conditions. In Interspeech-2014 (pp. 686\u2013690), Singapore.","DOI":"10.21437\/Interspeech.2014-172"},{"issue":"5","key":"9410_CR33","doi-asserted-by":"crossref","first-page":"1711","DOI":"10.1109\/TASL.2007.899278","volume":"15","author":"J Ming","year":"2007","unstructured":"Ming, J., Hazen, T. J., Glass, J. R., & Reynolds, D. (2007). Robust speaker recognition in noisy conditions. IEEE Transactions on Audio, Speech, and Language Processing, 15(5), 1711\u20131723.","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"key":"9410_CR34","unstructured":"Moreno, P. (1996). Speech recognition in noisy environments, Ph.D. thesis, Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh."},{"key":"9410_CR35","unstructured":"Pelecanos, J., Chaudhari, U., & Ramaswamy, G.(2004). Compensation of utterance length for speaker verification. In ODYSSEY04: The speaker and language recognition workshop, Teledo, Spain."},{"issue":"8","key":"9410_CR36","doi-asserted-by":"crossref","first-page":"2552","DOI":"10.1109\/TASL.2011.2155061","volume":"19","author":"SRM Prasanna","year":"2011","unstructured":"Prasanna, S. R. M., & Pradhan, G. (2011). Significance of vowel-like regions for speaker verification under degraded conditions. IEEE Transactions on Audio, Speech, and Language Processing, 19(8), 2552\u20132565.","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"key":"9410_CR37","doi-asserted-by":"crossref","unstructured":"Prasanna, S.\u00a0R.\u00a0M., Govind, D., Rao, K.\u00a0S., & Yegnanarayana, B. (2010). Fast prosody modification using instants of significant excitation. In Speech Prosody, Chicago.","DOI":"10.21437\/SpeechProsody.2010-126"},{"key":"9410_CR39","doi-asserted-by":"crossref","unstructured":"Rao, K., & Yegnanarayana, B. (2006). Voice conversion by prosody and vocal tract modification. In 9th International conference on information technology (pp. 111\u2013116), Bhubaneswar, Orissa.","DOI":"10.1109\/ICIT.2006.92"},{"key":"9410_CR40","unstructured":"Rao, K.\u00a0S. (2005). Acquisition and incorporation prosody knowledge for speech systems in Indian languages, Ph.D. thesis, Indian Institute of Technology Madras."},{"issue":"5","key":"9410_CR38","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1109\/TASL.2013.2243436","volume":"21","author":"W Rao","year":"2013","unstructured":"Rao, W., & Mak, M. W. (2013). Boosting the performance of i-vector based speaker verification via utterance partitioning. IEEE Transactions on Audio, Speech, and Language Processing, 21(5), 1012\u20131022.","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"issue":"1","key":"9410_CR41","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1006\/dspr.1999.0361","volume":"10","author":"D Reynolds","year":"2000","unstructured":"Reynolds, D., Quatieri, T., & Dunn, R. (2000). Speaker verification using adapted Gaussian mixture models. Digital Signal Processing, 10(1), 19\u201341.","journal-title":"Digital Signal Processing."},{"issue":"1","key":"9410_CR42","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/89.365379","volume":"3","author":"DA Reynolds","year":"1995","unstructured":"Reynolds, D. A., & Rose, R. C. (1995). Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Transactions on Acoustic, Speech and Signal Processing, 3(1), 72\u201383.","journal-title":"IEEE Transactions on Acoustic, Speech and Signal Processing"},{"key":"9410_CR43","doi-asserted-by":"crossref","unstructured":"Ribas, D., Vincent, E., & Calvo, J. R. (2015). Uncertainty propagation for noise robust speaker recognition: the case of nist-sre. In Interspeech-2015, Dresden, Germany.","DOI":"10.21437\/Interspeech.2015-701"},{"key":"9410_CR44","doi-asserted-by":"crossref","unstructured":"Roy, A., Doss, M.\u00a0M., & Marcel, S. (2010). Boosted binary features for noise-robust speaker verification. In Proceedings of IEEE international conference on acoustics, speech and signal processing (ICASSP \u201910), Dallas, TX (pp. 4442\u20134445).","DOI":"10.1109\/ICASSP.2010.5495622"},{"key":"9410_CR47","doi-asserted-by":"crossref","unstructured":"Sarkar, S., & Rao, K. (2013). Significance of utterance partitioning in gmm-svm based speaker verification in varying background environment. In COCOSDA-2013, Noida, India.","DOI":"10.1109\/ICSDA.2013.6709859"},{"key":"9410_CR46","doi-asserted-by":"crossref","unstructured":"Sarkar, S., & Rao, K. (2014a). A novel boosting algorithm for improved i-vector based speaker verification in noisy environments. In Interspeech-2014, Singapore.","DOI":"10.21437\/Interspeech.2014-169"},{"key":"9410_CR45","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.asoc.2014.02.016","volume":"19","author":"S Sarkar","year":"2014","unstructured":"Sarkar, S., & Rao, K. S. (2014b). Stochastic feature compensation methods for speaker verification in noisy environments. Applied Soft Computing, 19, 198\u2013214.","journal-title":"Applied Soft Computing"},{"key":"9410_CR48","unstructured":"Solomonoff, A., Quillen, C., & Boardman, I. (2004). Channel compensation for SVM speaker recognition. In IEEE workshop on speaker and language recognition (Odyssey \u201904), Toledo, Spain (pp. 57\u201362)."},{"key":"9410_CR49","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1142\/S0218001406005137","volume":"20","author":"Y Sun","year":"2006","unstructured":"Sun, Y., Todorovic, S., & Li, J. (2006). Reducing the overfitting of AdaBoost by controlling its data distribution skewness. International Journal of Pattern Recognition and Artificial Intelligence, 20, 1093\u20131116.","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"key":"9410_CR50","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/TSMCB.2008.2002909","volume":"39","author":"Y Tang","year":"2009","unstructured":"Tang, Y., Zhang, Y. Q., Chawla, N. V., & Krasser, S. (2009). SVMs modeling for highly imbalanced classification. IEEE Transaction on Systems, Man, and Cybernetics Part B: Cybernetics, 39, 281\u2013288.","journal-title":"IEEE Transaction on Systems, Man, and Cybernetics Part B: Cybernetics"},{"key":"9410_CR51","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/0167-6393(93)90095-3","volume":"12","author":"A Varga","year":"1993","unstructured":"Varga, A., & Steeneken, H. J. (1993). Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems. Speech Communication, 12, 247\u2013251.","journal-title":"Speech Communication"},{"key":"9410_CR52","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1007\/s10772-015-9295-3","volume":"18","author":"P Verma","year":"2015","unstructured":"Verma, P., & Das, P. K. (2015). i-Vectors in speech processing applications: a survey. International Journal of Speech Technology, 18, 529\u2013546.","journal-title":"International Journal of Speech Technology"},{"key":"9410_CR53","unstructured":"Veropoulos, K., Campbell, C., & Cristianini, N. (1999). Contolling the sensitivity of support vector machines. In Proceedings of international joint conference on artificial intelligence, Stockholm, Sweden."},{"issue":"2","key":"9410_CR54","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1109\/TSA.2004.841042","volume":"13","author":"V Wan","year":"2005","unstructured":"Wan, V., & Renals, S. (2005). Speaker verification using sequence discriminant support vector machines. IEEE Transaction on Acoustic, Speech and Audio Processing, 13(2), 203\u2013210.","journal-title":"IEEE Transaction on Acoustic, Speech and Audio Processing"},{"issue":"6","key":"9410_CR55","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1109\/TKDE.2005.95","volume":"17","author":"G Wu","year":"2005","unstructured":"Wu, G., & Chang, E. (2005). KBA: Kernel boundary alignment considering imbalanced data distribution. IEEE Transactions on Knowledge and Data Engineering, 17(6), 786\u2013795.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"9410_CR56","first-page":"483","volume":"6","author":"J Ye","year":"2005","unstructured":"Ye, J. (2005). Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems. Journal of Machine Learning Research, 6, 483\u2013502.","journal-title":"Journal of Machine Learning Research"},{"issue":"1","key":"9410_CR57","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1109\/LSP.2008.2006711","volume":"16","author":"CH You","year":"2009","unstructured":"You, C. H., Lee, K. A., & Li, H. (2009). An SVM kernel with GMM-Supervector based on the Bhattacharyya distance for speaker recognition. IEEE Signal Processing Letters, 16(1), 49\u201352.","journal-title":"IEEE Signal Processing Letters"}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10772-017-9410-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-017-9410-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-017-9410-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,23]],"date-time":"2024-06-23T23:03:07Z","timestamp":1719183787000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10772-017-9410-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,4]]},"references-count":57,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,6]]}},"alternative-id":["9410"],"URL":"https:\/\/doi.org\/10.1007\/s10772-017-9410-8","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,4]]}}}