{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:09:53Z","timestamp":1766066993019},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030205201"},{"type":"electronic","value":"9783030205218"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-20521-8_6","type":"book-chapter","created":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T19:02:40Z","timestamp":1559674960000},"page":"65-73","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Voice Command Recognition Using Statistical Signal Processing and SVM"],"prefix":"10.1007","author":[{"given":"Aleksandra","family":"Osowska","sequence":"first","affiliation":[]},{"given":"Stanislaw","family":"Osowski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,16]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-77592-0","volume-title":"Fundamentals of Speaker Recognition","author":"H Beigi","year":"2011","unstructured":"Beigi, H.: Fundamentals of Speaker Recognition. Springer, New York (2011). \n                      https:\/\/doi.org\/10.1007\/978-0-387-77592-0"},{"issue":"7","key":"6_CR2","first-page":"1213","volume":"63","author":"B-H Juang","year":"1984","unstructured":"Juang, B.-H.: On the hidden Markov model and dynamic time warping for speech recognition\u2014a unified view. AT T Tech. J. 63(7), 1213\u20131243 (1984)","journal-title":"AT T Tech. J."},{"issue":"2","key":"6_CR3","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/s10618-015-0418-x","volume":"30","author":"RJ Kate","year":"2015","unstructured":"Kate, R.J.: Using dynamic time warping distances as features for improved time series classification. Data Min. Knowl. Disc. 30(2), 283\u2013312 (2015)","journal-title":"Data Min. Knowl. Disc."},{"issue":"5","key":"6_CR4","first-page":"576","volume":"3","author":"OP Prabhakar","year":"2013","unstructured":"Prabhakar, O.P., Sahu, N.K.: A survey on voice command recognition technique. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3(5), 576\u2013585 (2013)","journal-title":"Int. J. Adv. Res. Comput. Sci. Softw. Eng."},{"key":"6_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-5779-3","volume-title":"Automatic Speech Recognition: A Deep Learning Approach","author":"Y Dong","year":"2015","unstructured":"Dong, Y., Li, D.: Automatic Speech Recognition: A Deep Learning Approach. Springer, New York (2015). \n                      https:\/\/doi.org\/10.1007\/978-1-4471-5779-3"},{"key":"6_CR6","volume-title":"The Handbook of Brain Theory and Neural Networks","author":"Y LeCun","year":"1995","unstructured":"LeCun, Y., Bengio, Y.: Convolutional networks for images, speech, and time-series. In: Arbib, M.A. (ed.) The Handbook of Brain Theory and Neural Networks. MIT Press, Cambridge (1995)"},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85\u2013117 (2015)","journal-title":"Neural Netw."},{"key":"6_CR8","volume-title":"Introduction to Data Mining","author":"PN Tan","year":"2006","unstructured":"Tan, P.N., Steinbach, M., Kumar, V.: Introduction to Data Mining. Pearson Education Inc., Boston (2006)"},{"key":"6_CR9","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970104","volume-title":"Ten Lectures on Wavelets","author":"I Daubechies","year":"1992","unstructured":"Daubechies, I.: Ten Lectures on Wavelets. SIAM, Philadelphia (1992)"},{"key":"6_CR10","volume-title":"Applied Nonparametric Statistical Method","author":"P Sprent","year":"2007","unstructured":"Sprent, P., Smeeton, N.C.: Applied Nonparametric Statistical Method. Chapman & Hall\/CRC, Boca Raton (2007)"},{"key":"6_CR11","volume-title":"Learning With Kernels","author":"B Sch\u00f6lkopf","year":"2002","unstructured":"Sch\u00f6lkopf, B., Smola, A.: Learning With Kernels. MIT Press, Cambridge (2002)"},{"key":"6_CR12","unstructured":"Matlab user manual. MathWorks, Natick (2018)"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20521-8_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T19:03:32Z","timestamp":1559675012000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20521-8_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030205201","9783030205218"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20521-8_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"16 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gran Canaria","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwann.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"210","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"150","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"71% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2,9","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}