Base_JSON/prefixO/json/O15/O15-1012.json

{
    "paper_id": "O15-1012",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T08:10:10.218876Z"
    },
    "title": "",
    "authors": [],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "",
    "pdf_parse": {
        "paper_id": "O15-1012",
        "_pdf_hash": "",
        "abstract": [],
        "body_text": [
            {
                "text": "[1] M. Black, A. Katsamanis, B. Baucom, C. Lee, A. Lammert, A. Christensen, P. Georgiou and S.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "\u53c3\u8003\u6587\u737b",
                "sec_num": null
            },
            {
                "text": "Narayanan, 'Toward automating a human behavioral coding system for married couples' interactions using speech acoustic features ', Speech Communication, vol. 55, no. 1, pp. 1-21, 2013. [2] O'Brian, M.,John, R.S., Margolin, G., Erel, O., 'Reliability and diagnostic efficacy of parent's reports regarding children's exposure to martial aggression ', vol. 9, pp. 45-62, 1994 [3] Karney, B.R., Bradbury, T.N., 'The longitudinal course of marital quality and stability: A review of theory, methods, and research. Psychol', Bull, vol. 118, pp. 3-34, 1995. [4] Gonzaga, G.C., Campos, B., Bradbury, 'Similarity, convergence, and relationship satisfaction in dating and married couples', J.Personal. Soc. Psychol., vol. 93, pp. 34-48, 2007 . Psychol, vol. 72, pp. 176-191, 2004. [9] G. Hinton, 'Reducing the Dimensionality of Data with Neural Networks', Science, vol. 313, no. 5786, pp. 504-507, 2006 . Mag., vol. 29, no. 6, pp. 82-97, 2012. [11] E. Smirnov, D. Timoshenko and S. Andrianov, 'Comparison of Regularization Methods for ImageNet Classification with Deep Convolutional Neural Networks', AASRI Procedia, vol. 6, pp. 89-94, 2014 [12] Y. Perwej and A. chaturvedi, 'Machine recognition of Hand written Characters using neural networks', International Journal of Computer Applications, vol. 14, no. 2, pp. 6-9, 2011.",
                "cite_spans": [
                    {
                        "start": 128,
                        "end": 188,
                        "text": "', Speech Communication, vol. 55, no. 1, pp. 1-21, 2013. [2]",
                        "ref_id": null
                    },
                    {
                        "start": 346,
                        "end": 376,
                        "text": "', vol. 9, pp. 45-62, 1994 [3]",
                        "ref_id": null
                    },
                    {
                        "start": 509,
                        "end": 554,
                        "text": "Psychol', Bull, vol. 118, pp. 3-34, 1995. [4]",
                        "ref_id": null
                    },
                    {
                        "start": 692,
                        "end": 731,
                        "text": "Soc. Psychol., vol. 93, pp. 34-48, 2007",
                        "ref_id": null
                    },
                    {
                        "start": 734,
                        "end": 774,
                        "text": "Psychol, vol. 72, pp. 176-191, 2004. [9]",
                        "ref_id": null
                    },
                    {
                        "start": 846,
                        "end": 892,
                        "text": "Science, vol. 313, no. 5786, pp. 504-507, 2006",
                        "ref_id": null
                    },
                    {
                        "start": 895,
                        "end": 968,
                        "text": "Mag., vol. 29, no. 6, pp. 82-97, 2012. [11] E. Smirnov, D. Timoshenko and",
                        "ref_id": null
                    },
                    {
                        "start": 969,
                        "end": 1135,
                        "text": "S. Andrianov, 'Comparison of Regularization Methods for ImageNet Classification with Deep Convolutional Neural Networks', AASRI Procedia, vol. 6, pp. 89-94, 2014 [12]",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "\u53c3\u8003\u6587\u737b",
                "sec_num": null
            }
        ],
        "back_matter": [],
        "bib_entries": {},
        "ref_entries": {
            "FIGREF0": {
                "text": "[5] Schuller, B.,Batliner, A., Seppi, D., Steidl, S., Vogt, T., Wagner, J., Devillers, L., Vidrascu, L., Amir,  N., Kessous, 'The relevance of feature type for automatic classification of emotional user states: Low level descriptors and functionals', In: Proc. Interspeech, Antwerp, Belgium, pp. 2253-2256,  2007 [6] Burkhardt, F., Polzehl, T., Stegmann, J., Metze, F., Huber, R, 'Detecting real life anger', in: Proc. IEEE Int'l Conf. Acous.,Speech, and Signal Processing, Taipei, Taiwan , pp.4761-4764, 2009.  [7]  Devillers, L., Campbell, N., ' Special issue of computer speech and language on affective speech in real-life interactions', Comput. Speech Lang., vol. 25, pp. 1-3, 2011.  [8]  Christensen, A., Atkins, D.C., Yi, J., Baucom, D.H., George, W.H., 'Couple and individual adjustment for 2 years following a randomized clinical trial comparing traditional versus integrative behavioral couple therapy', J. Consult. Clin.",
                "uris": null,
                "num": null,
                "type_str": "figure"
            },
            "FIGREF1": {
                "text": "[10] G. Hinton, L. Deng, D. Yu, G. Dahl, A. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. Sainath and B. Kingsbury, 'Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups', IEEE Signal Process.",
                "uris": null,
                "num": null,
                "type_str": "figure"
            }
        }
    }
}