{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:35:30Z","timestamp":1743064530726,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030878689"},{"type":"electronic","value":"9783030878696"}],"license":[{"start":{"date-parts":[[2021,9,23]],"date-time":"2021-09-23T00:00:00Z","timestamp":1632355200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,23]],"date-time":"2021-09-23T00:00:00Z","timestamp":1632355200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-87869-6_29","type":"book-chapter","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T07:10:31Z","timestamp":1632294631000},"page":"304-313","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A First Prototype of an Emotional Smart Speaker"],"prefix":"10.1007","author":[{"given":"Enrique","family":"de la Cal","sequence":"first","affiliation":[]},{"given":"Alberto","family":"Gallucci","sequence":"additional","affiliation":[]},{"given":"Jose Ram\u00f3n","family":"Villar","sequence":"additional","affiliation":[]},{"given":"Kaori","family":"Yoshida","sequence":"additional","affiliation":[]},{"given":"Mario","family":"Koeppen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,23]]},"reference":[{"issue":"2","key":"29_CR1","first-page":"63","volume":"8","author":"M Ahsan","year":"2016","unstructured":"Ahsan, M., Kumari, M.: Physical features based speech emotion recognition using predictive classification. Int. J. Comput. Sci. Inf. Technol. 8(2), 63\u201374 (2016)","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"29_CR2","doi-asserted-by":"crossref","unstructured":"Ak\u00e7ay, M.B., O\u011fuz, K.: Speech emotion recognition: emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers. Speech Commun. 116(October 2019), 56\u201376 (2020)","DOI":"10.1016\/j.specom.2019.12.001"},{"key":"29_CR3","unstructured":"AlexaPI: AlexaPI - Alexa for Rasberry PI - API Python (2017). https:\/\/github.com\/alexa-pi\/AlexaPi\/wiki\/Audio-setup-&-debugging"},{"key":"29_CR4","unstructured":"Amazon Alexa: Official C++ Distribution of Alexa for Rasberry PI. https:\/\/developer.amazon.com\/en-US\/docs\/alexa\/avs-device-sdk\/raspberry-pi-script.html"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","DOI":"10.1023\/A:1010933404324"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W., Weiss, B.: A database of German emotional speech. In: 9th European Conference on Speech Communication and Technology, pp. 1517\u20131520 (2005)","DOI":"10.21437\/Interspeech.2005-446"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a Library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 1\u201327 (2011)","DOI":"10.1145\/1961189.1961199"},{"key":"29_CR8","unstructured":"Fiberlogy: 3D Recycled material - Fiberlogy (2021). https:\/\/fiberlogy.com\/en\/fiberlogy-filaments\/r-pla\/"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Statist. 29(5), 1189\u20131232 (2001)","DOI":"10.1214\/aos\/1013203451"},{"key":"29_CR10","doi-asserted-by":"crossref","unstructured":"Geurts, P., Ernst, D., Wehenkel, L.: Extremely randomized trees. Mach. Learn. 63(1), 3\u201342 (2006)","DOI":"10.1007\/s10994-006-6226-1"},{"key":"29_CR11","unstructured":"Haq, S., Jackson, P.J.B.: Speaker-dependent audio-visual emotion recognition. In: Proceedings of International Conference on Auditory-Visual Speech Processing (AVSP 2008), Norwich, UK (2009)"},{"key":"29_CR12","unstructured":"Haq, S., Jackson, P.J.B.: Machine Audition: Principles, Algorithms and Systems. chap. Multimodal, pp. 398\u2013423. IGI Global, Hershey PA (2010)"},{"key":"29_CR13","first-page":"7420","volume":"39","author":"S Haq","year":"2008","unstructured":"Haq, S., Jackson, P., Edge, J.: Audio-visual feature selection and reduction for emotion classification. Expert Syst. Appl. 39, 7420\u20137431 (2008)","journal-title":"Expert Syst. Appl."},{"key":"29_CR14","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: Springer Series in Statistics The Elements of Statistical Learning Data Mining, Inference, and Prediction. Tech. rep"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. CoRR abs\/1512.0 (2015). arXiv:1512.03385","DOI":"10.1109\/CVPR.2016.90"},{"key":"29_CR16","unstructured":"Kingma, D.P., Ba, J.L.: Adam: a method for stochastic optimization. In: 3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings. International Conference on Learning Representations, ICLR (2015)"},{"key":"29_CR17","doi-asserted-by":"crossref","unstructured":"Livingstone, S.R., Russo, F.A.: The Ryerson audio-visual database of emotional speech and song (ravdess): a dynamic, multimodal set of facial and vocal expressions in north American English. PLoS ONE 13(5), e0196391 (2018)","DOI":"10.1371\/journal.pone.0196391"},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Manning, C.D., Raghavan, P., Schuetze, H.: The Bernoulli model. In: Introduction to Information Retrieval, pp. 234\u2013265 (2009)","DOI":"10.1017\/CBO9780511809071"},{"key":"29_CR19","unstructured":"Pichora-Fuller, M.K., Dupuis, K.: Toronto emotional speech set (TESS) (2020)"},{"key":"29_CR20","unstructured":"Recognition, P.S.: Python Speech Recognition API r. 3.8.1 (2021). https:\/\/pypi.org\/project\/SpeechRecognition\/"},{"key":"29_CR21","unstructured":"Sudharsan, B., Corcoran, P., Ali, M.I.: Smart speaker design and implementation with biometric authentication and advanced voice interaction capability. In: CEUR Workshop Proceedings, vol. 2563, pp. 305\u2013316 (2019)"},{"key":"29_CR22","doi-asserted-by":"crossref","unstructured":"Sudharsan, B., Kumar, S.P., Dhakshinamurthy, R.: AI vision: smart speaker design and implementation with object detection custom skill and advanced voice interaction capability. In: Proceedings of the 11th International Conference on Advanced Computing, ICoAC 2019, pp. 97\u2013102 (2019)","DOI":"10.1109\/ICoAC48765.2019.247125"},{"key":"29_CR23","first-page":"195","volume-title":"An overview and comparison of voting methods for pattern recognition","author":"M Van Erp","year":"2002","unstructured":"Van Erp, M., Vuurpijl, L., Schomaker, L.: An overview and comparison of voting methods for pattern recognition, pp. 195\u2013200. Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR pp (2002)"},{"key":"29_CR24","unstructured":"Zhu, J., Zou, H., Rosset, S., Hastie, T.: Multi-class AdaBoost *. Tech. rep. (2009)"}],"container-title":["Advances in Intelligent Systems and Computing","16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87869-6_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T22:25:50Z","timestamp":1673303150000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87869-6_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,23]]},"ISBN":["9783030878689","9783030878696"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87869-6_29","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2021,9,23]]},"assertion":[{"value":"23 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Soft Computing Models in Industrial and Environmental Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bilbao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socomoin2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.sococonference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}