{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T20:34:42Z","timestamp":1743021282434,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819973385"},{"type":"electronic","value":"9789819973392"}],"license":[{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-99-7339-2_43","type":"book-chapter","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T11:02:35Z","timestamp":1697713355000},"page":"526-540","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multilingual Speech Emotion Recognition Using Deep Learning Approach"],"prefix":"10.1007","author":[{"given":"Chu Sheng","family":"Liau","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai Sze","family":"Hong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,20]]},"reference":[{"key":"43_CR1","doi-asserted-by":"crossref","unstructured":"Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W., Weiss, B.: A database of German emotional speech. In: Proceedings of Interspeech 2005, vol. 5, pp. 1517\u20131520 (2005)","DOI":"10.21437\/Interspeech.2005-446"},{"issue":"6","key":"43_CR2","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MAP.2016.2609821","volume":"58","author":"V Rodriguez","year":"2016","unstructured":"Rodriguez, V.: Basic rules for indoor anechoic chamber design [measurements corner]. IEEE Antennas Propag. Mag. 58(6), 82\u201393 (2016)","journal-title":"IEEE Antennas Propag. Mag."},{"issue":"5","key":"43_CR3","doi-asserted-by":"publisher","first-page":"e0196391","DOI":"10.1371\/journal.pone.0196391","volume":"13","author":"SR Livingstone","year":"2018","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)","journal-title":"PLoS ONE"},{"issue":"5","key":"43_CR4","first-page":"2229","volume":"6","author":"KR Ghule","year":"2015","unstructured":"Ghule, K.R., Deshmukh, R.: Feature extraction techniques for speech recognition: a review. Int. J. Sci. Eng. Res. 6(5), 2229\u20135518 (2015)","journal-title":"Int. J. Sci. Eng. Res."},{"issue":"6","key":"43_CR5","first-page":"1","volume":"1","author":"N Dave","year":"2013","unstructured":"Dave, N.: Feature extraction methods LPC, PLP and MFCC in speech recognition. Int. J. Adv. Res. Eng. Technol. 1(6), 1\u20134 (2013)","journal-title":"Int. J. Adv. Res. Eng. Technol."},{"key":"43_CR6","unstructured":"Alim, S.A., Rashid, N.K.A.: Some Commonly Used Speech Feature Extraction Algorithms. From Natural to Artificial Intelligence - Algorithms and Applications (2018). undefined\/state.item.id"},{"key":"43_CR7","doi-asserted-by":"crossref","unstructured":"D\u00f6rfler, M., Bammer, R., Grill, T.: Inside the spectrogram: Convolutional Neural Networks in audio processing. In: 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017, vol. 1, pp. 152\u2013155 (2017)","DOI":"10.1109\/SAMPTA.2017.8024472"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"Shen, J., et al.: Natural TTS synthesis by conditioning WaveNet on MEL spectrogram predictions. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2018-April, pp. 4779\u20134783 (2018)","DOI":"10.1109\/ICASSP.2018.8461368"},{"key":"43_CR9","unstructured":"O\u2019Shea, K., Nash, R.: An introduction to convolutional neural networks. arXiv preprint arXiv:1511.08458 (2015)"},{"issue":"6","key":"43_CR10","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. Commun. ACM 60(6), 84\u201390 (2017)","journal-title":"Commun. ACM"},{"key":"43_CR11","doi-asserted-by":"crossref","unstructured":"Stolar, M.N., Lech, M., Bolia, R.S., Skinner, M.: Real time speech emotion recognition using RGB image classification and transfer learning. In: 2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS), pp. 1\u20138. IEEE (2017)","DOI":"10.1109\/ICSPCS.2017.8270472"},{"key":"43_CR12","doi-asserted-by":"publisher","first-page":"14","DOI":"10.3389\/fcomp.2020.00014","volume":"2","author":"M Lech","year":"2020","unstructured":"Lech, M., Stolar, M., Best, C., Bolia, R.: Real-time speech emotion recognition using a pre-trained image classification network: effects of bandwidth reduction and companding. Front. Comput. Sci. 2, 14 (2020)","journal-title":"Front. Comput. Sci."},{"issue":"3","key":"43_CR13","doi-asserted-by":"publisher","first-page":"3705","DOI":"10.1007\/s11042-017-5539-3","volume":"78","author":"Y Zeng","year":"2019","unstructured":"Zeng, Y., Mao, H., Peng, D., Yi, Z.: Spectrogram based multi-task audio classification. Multimedia Tools Appl. 78(3), 3705\u20133722 (2019)","journal-title":"Multimedia Tools Appl."},{"key":"43_CR14","doi-asserted-by":"crossref","unstructured":"Huang, Z., Dong, M., Mao, Q., Zhan, Y.: Speech emotion recognition using CNN. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 801\u2013804 (2014)","DOI":"10.1145\/2647868.2654984"},{"key":"43_CR15","doi-asserted-by":"crossref","unstructured":"Han, K., Yu, D., Tashev, I.: Speech emotion recognition using deep neural network and extreme learning machine. In: Interspeech 2014 (2014)","DOI":"10.21437\/Interspeech.2014-57"},{"key":"43_CR16","doi-asserted-by":"crossref","unstructured":"Kerkeni, L., Serrestou, Y., Mbarki, M., Raoof, K., Mahjoub, M.A.: Speech emotion recognition: methods and cases study. In: ICAART (2), vol. 20 (2018)","DOI":"10.5220\/0006611601750182"},{"key":"43_CR17","unstructured":"MATLAB: Transfer learning with deep network designer (2023). https:\/\/www.mathworks.com\/help\/deeplearning\/ug\/transfer-learning-with-deep-network-designer.html"},{"key":"43_CR18","unstructured":"Zulkifli, H.: Understanding Learning Rates and How It Improves Performance in Deep Learning (2018). https:\/\/towardsdatascience.com\/understanding-learning-rates-and-how-it-improves-performance-in-deep-learning-d0d4059c1c10"},{"key":"43_CR19","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.inffus.2018.09.008","volume":"49","author":"MS Hossain","year":"2019","unstructured":"Hossain, M.S., Muhammad, G.: Emotion recognition using deep learning approach from audio\u2013visual emotional big data. Inf. Fusion 49, 69\u201378 (2019)","journal-title":"Inf. Fusion"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-7339-2_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T00:19:56Z","timestamp":1699316396000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-7339-2_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,20]]},"ISBN":["9789819973385","9789819973392"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-7339-2_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,10,20]]},"assertion":[{"value":"20 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IVIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Visual Informatics Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malaysia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ivic2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ivic23.ukm.my","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 (provided by the conference organizers)"}},{"value":"Conference Bay Submission System","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"101","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"51","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - 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 (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}