{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:20:16Z","timestamp":1742973616393,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811550928"},{"type":"electronic","value":"9789811550935"}],"license":[{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"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":[[2021]]},"DOI":"10.1007\/978-981-15-5093-5_5","type":"book-chapter","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T17:08:01Z","timestamp":1594314481000},"page":"45-55","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Emotional Content Comparison in Speech Signal Using Feature Embedding"],"prefix":"10.1007","author":[{"given":"Stefano","family":"Rovetta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zied","family":"Mnasri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Masulli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,10]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W. F., & Weiss, B.: A database of German emotional speech. In: Ninth European Conference on Speech Communication and Technology (2005)","DOI":"10.21437\/Interspeech.2005-446"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Deng, J., Zhang, Z., Marchi, E., Schuller, B.: Sparse autoencoder-based feature transfer learning for speech emotion recognition. In: 2013 IEEE Humaine Association Conference on Affective Computing and Intelligent Interaction, pp. 511\u2013516 (2013)","DOI":"10.1109\/ACII.2013.90"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Eyben, F., Buchholz, S., Braunschweiler, N., Latorre, J., Wan, V., Gales, M. J., & Knill, K.: Unsupervised clustering of emotion and voice styles for expressive TTS. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4009\u20134012 (2012)","DOI":"10.1109\/ICASSP.2012.6288797"},{"issue":"2","key":"5_CR4","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1109\/TAFFC.2015.2457417","volume":"7","author":"F Eyben","year":"2016","unstructured":"Eyben, F., Scherer, K.R., Schuller, B.W., Sundberg, J., Andre, E., Busso, C., Truong, K.P.: The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing. IEEE Trans. Affect. Comput. 7(2), 190\u2013202 (2016)","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"3","key":"5_CR5","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1023\/A:1023426522496","volume":"6","author":"V Hozjan","year":"2003","unstructured":"Hozjan, V., Kacic, Z.: Context-independent multilingual emotion recognition from speech signals. Int. J. Speech Technol. 6(3), 311\u2013320 (2003)","journal-title":"Int. J. Speech Technol."},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Huang, P., Huang, Y., Wang, W., & Wang, L.: Deep embedding network for clustering. In: IEEE 2014 22nd International Conference on Pattern Recognition, pp. 1532\u20131537 (2014)","DOI":"10.1109\/ICPR.2014.272"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"937","DOI":"10.21437\/Interspeech.2018-1132","volume":"2018","author":"J Kim","year":"2018","unstructured":"Kim, J., Saurous, R.A.: Emotion recognition from human speech using temporal information and deep learning. Proc. Interspeech 2018, 937\u2013940 (2018)","journal-title":"Proc. Interspeech"},{"key":"5_CR8","unstructured":"Moneta, C., Parodi, G., Rovetta, S., Zunino, R.: Automated diagnosis and disease characterization using neural network analysis. In: Proceedings of 1992 IEEE International Conference on Systems, Man, and Cybernetics, pp. 123\u2013128 (1992)"},{"key":"5_CR9","unstructured":"Ng, A.: Sparse autoencoder. CS294A Lecture notes. http:\/\/web.stanford.edu\/class\/cs294a\/sparseAutoencoder2011.pdf"},{"issue":"4","key":"5_CR10","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1007\/s005210070006","volume":"9","author":"J Nicholson","year":"2000","unstructured":"Nicholson, J., Takahashi, K., Nakatsu, R.: Emotion recognition in speech using neural networks. Neural Comput. Appl. 9(4), 290\u2013296 (2000)","journal-title":"Neural Comput. Appl."},{"issue":"4","key":"5_CR11","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/S0167-6393(03)00099-2","volume":"41","author":"TL Nwe","year":"2003","unstructured":"Nwe, T.L., Foo, S.W., De Silva, L.C.: Speech emotion recognition using hidden Markov models. Speech Commun. 41(4), 603\u2013623 (2003)","journal-title":"Speech Commun."},{"issue":"2","key":"5_CR12","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1109\/72.914531","volume":"12","author":"S Ridella","year":"2001","unstructured":"Ridella, S., Rovetta, S., Zunino, R.: K-winner machines for pattern classification. IEEE Trans. Neural Networks 12(2), 371\u2013385 (2001)","journal-title":"IEEE Trans. Neural Networks"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Rovetta, S., Mnasri, Z., Masulli, F., & Cabri, A.: Emotion recognition from speech signal using fuzzy clustering. In:: EUSFLAT Conference (2019) (to appear)","DOI":"10.2991\/eusflat-19.2019.19"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Schuller, B., Rigoll, G., Lang, M.: Hidden Markov model-based speech emotion recognition. In: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing\u2014ICASSP 2003, vol. 2, pp. II-1 (2003)","DOI":"10.1109\/ICME.2003.1220939"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Schuller, B., Rigoll, G., Lang, M.: Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture. In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, pp. I-577 (2004)","DOI":"10.1109\/ICASSP.2004.1326051"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Schuller, B., Steidl, S., Batliner, A.: The interspeech 2009 emotion challenge. In: Tenth Annual Conference of the International Speech Communication Association (2009)","DOI":"10.21437\/Interspeech.2009-103"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Schuller, B., Steidl, S., Batliner, A., Vinciarelli, A., Scherer, K., Ringeval, F., Mortillaro, M.: The INTERSPEECH 2013 computational paralinguistics challenge: Social signals, conflict, emotion, autism. In: Proceedings INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, Lyon, France (2013)","DOI":"10.21437\/Interspeech.2013-56"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Song, C., Liu, F., Huang, Y., Wang, L., Tan, T.:Auto-encoder based data clustering. In: Iberoamerican Congress on Pattern Recognition, pp. 117\u2013124. Springer, Berlin, Heidelberg (2013)","DOI":"10.1007\/978-3-642-41822-8_15"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Szekely, E., Cabral, J. P., Cahill, P., Carson-Berndsen, J.: Clustering expressive speech styles in audiobooks using glottal source parameters. In: Twelfth Annual Conference of the International Speech Communication Association (2011)","DOI":"10.21437\/Interspeech.2011-627"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Tian, F., Gao, B., Cui, Q., Chen, E., Liu, T.Y.: Learning deep representations for graph clustering. In: Twenty-Eighth AAAI Conference on Artificial Intelligence (2014)","DOI":"10.1609\/aaai.v28i1.8916"},{"key":"5_CR21","unstructured":"Xie, J., Girshick, R., Farhadi, A.: Unsupervised deep embedding for clustering analysis. In: International Conference on Machine Learning, pp. 478\u2013487 (2016)"}],"container-title":["Smart Innovation, Systems and Technologies","Progresses in Artificial Intelligence and Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5093-5_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T17:38:38Z","timestamp":1723225118000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-5093-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,10]]},"ISBN":["9789811550928","9789811550935"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5093-5_5","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2020,7,10]]},"assertion":[{"value":"10 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}