{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T07:59:42Z","timestamp":1781596782429,"version":"3.54.5"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s11042-023-16036-y","type":"journal-article","created":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T07:02:35Z","timestamp":1687158155000},"page":"8663-8688","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Machine learning approach of speech emotions recognition using feature fusion technique"],"prefix":"10.1007","volume":"83","author":[{"given":"Bachchu","family":"Paul","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7865-8238","authenticated-orcid":false,"given":"Somnath","family":"Bera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tanushree","family":"Dey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santanu","family":"Phadikar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,6,19]]},"reference":[{"issue":"6","key":"16036_CR1","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.3390\/s22062378","volume":"22","author":"A Aggarwal","year":"2022","unstructured":"Aggarwal A, Srivastava A, Agarwal A, Chahal N, Singh D, Alnuaim AA, Alhadlaq A, Lee H-N (2022) Two-way feature extraction for speech emotion recognition using deep learning. Sensors 22(6):2378","journal-title":"Sensors"},{"key":"16036_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2021.108046","volume":"179","author":"J Ancilin","year":"2021","unstructured":"Ancilin J, Milton A (2021) Improved speech emotion recognition with Mel frequency magnitude coefficient. Appl Acoust 179:108046","journal-title":"Appl Acoust"},{"key":"16036_CR3","doi-asserted-by":"publisher","unstructured":"Basu S, Chakraborty J, Bag A, Aftabuddin M\u00a0(2017) A review on emotion recognition using speech. In: 2017 International conference on inventive communication and computational technologies (ICICCT). IEEE, pp 109\u2013114. https:\/\/doi.org\/10.1109\/ICICCT.2017.7975169","DOI":"10.1109\/ICICCT.2017.7975169"},{"key":"16036_CR4","doi-asserted-by":"publisher","unstructured":"Burkhardt F, Paeschke A, Rolfes M, Sendlmeier WF, Weiss B\u00a0(2005) A database of German emotional speech. In: Interspeech,\u00a0vol 5, pp 1517\u20131520. https:\/\/doi.org\/10.21437\/Interspeech.2005-446","DOI":"10.21437\/Interspeech.2005-446"},{"issue":"20","key":"16036_CR5","first-page":"6","volume":"1","author":"Y Chavhan","year":"2010","unstructured":"Chavhan Y, Dhore M, Yesaware P (2010) Speech emotion recognition using support vector machine. Int J Comput Appl 1(20):6\u20139","journal-title":"Int J Comput Appl"},{"issue":"6","key":"16036_CR6","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1016\/j.dsp.2012.05.007","volume":"22","author":"L Chen","year":"2012","unstructured":"Chen L, Mao X, Xue Y, Cheng LL (2012) Speech emotion recognition: Features and classification models. Digital Signal Proc 22(6):1154\u20131160","journal-title":"Digital Signal Proc"},{"key":"16036_CR7","doi-asserted-by":"publisher","unstructured":"Choudhury AR, Ghosh A, Pandey R, Barman S\u00a0(2018) Emotion recognition from speech signals using excitation source and spectral features. In: 2018 IEEE Applied Signal Processing Conference (ASPCON). IEEE, pp 257\u2013261.\u00a0https:\/\/doi.org\/10.1109\/ASPCON.2018.8748626","DOI":"10.1109\/ASPCON.2018.8748626"},{"key":"16036_CR8","doi-asserted-by":"publisher","unstructured":"Dhar P, Guha S (2021) A system to predict emotion from Bengali speech. International Journal of Mathematical Sciences and Computing (IJMSC) 7(1):26\u201335. https:\/\/doi.org\/10.5815\/ijmsc.2021.01.04","DOI":"10.5815\/ijmsc.2021.01.04"},{"issue":"3","key":"16036_CR9","first-page":"182","volume":"39","author":"K Dupuis","year":"2011","unstructured":"Dupuis K, Pichora-Fuller MK (2011) Recognition of emotional speech for younger and older talkers: Behavioural findings from the Toronto emotional speech set. Can Acoust 39(3):182\u2013183","journal-title":"Can Acoust"},{"issue":"3","key":"16036_CR10","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1016\/j.patcog.2010.09.020","volume":"44","author":"M El Ayadi","year":"2011","unstructured":"El Ayadi M, Kamel MS, Karray F (2011) Survey on speech emotion recognition: Features, classification schemes, and databases. Pattern Recogn 44(3):572\u2013587","journal-title":"Pattern Recogn"},{"issue":"1","key":"16036_CR11","first-page":"79","volume":"27","author":"A Harimi","year":"2014","unstructured":"Harimi A, Esmaileyan Z (2014) A database for automatic Persian speech emotion recognition: collection, processing and evaluation. Int J Eng 27(1):79\u201390","journal-title":"Int J Eng"},{"issue":"1","key":"16036_CR12","first-page":"235","volume":"2","author":"AB Ingale","year":"2012","unstructured":"Ingale AB, Chaudhari D (2012) Speech emotion recognition. Int J Soft Comput Eng (IJSCE) 2(1):235\u2013238","journal-title":"Int J Soft Comput Eng (IJSCE)"},{"key":"16036_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.101894","volume":"59","author":"D Issa","year":"2020","unstructured":"Issa D, Demirci MF, Yazici A (2020) Speech emotion recognition with deep convolutional neural networks. Biomed Signal Process Control 59:101894","journal-title":"Biomed Signal Process Control"},{"issue":"2","key":"16036_CR14","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1109\/89.824705","volume":"8","author":"HK Kim","year":"2000","unstructured":"Kim HK, Choi SH, Lee HS (2000) On approximating line spectral frequencies to LPC cepstral coefficients. IEEE Trans Speech Audio Proc 8(2):195\u2013199","journal-title":"IEEE Trans Speech Audio Proc"},{"issue":"1","key":"16036_CR15","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/s10772-020-09672-4","volume":"23","author":"A Koduru","year":"2020","unstructured":"Koduru A, Valiveti HB, Budati AK (2020) Feature extraction algorithms to improve the speech emotion recognition rate. Int J Speech Technol 23(1):45\u201355","journal-title":"Int J Speech Technol"},{"issue":"2","key":"16036_CR16","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s10772-012-9139-3","volume":"15","author":"SG Koolagudi","year":"2012","unstructured":"Koolagudi SG, Rao KS (2012) Emotion recognition from speech using source, system, and prosodic features. Int J Speech Technol 15(2):265\u2013289","journal-title":"Int J Speech Technol"},{"issue":"4","key":"16036_CR17","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1007\/s10772-016-9358-0","volume":"19","author":"S Kuchibhotla","year":"2016","unstructured":"Kuchibhotla S, Vankayalapati HD, Anne KR (2016) An optimal two stage feature selection for speech emotion recognition using acoustic features. Int J Speech Technol 19(4):657\u2013667","journal-title":"Int J Speech Technol"},{"key":"16036_CR18","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s10772-020-09792-x","volume":"24","author":"U Kumaran","year":"2021","unstructured":"Kumaran U, Radha Rammohan S, Nagarajan SM, Prathik A (2021) Fusion of mel and gammatone frequency cepstral coefficients for speech emotion recognition using deep C-RNN. Int J Speech Technol 24:303\u2013314","journal-title":"Int J Speech Technol"},{"key":"16036_CR19","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.procs.2015.04.226","volume":"49","author":"RB Lanjewar","year":"2015","unstructured":"Lanjewar RB, Mathurkar S, Patel N (2015) Implementation and comparison of speech emotion recognition system using Gaussian Mixture Model (GMM) and K-Nearest Neighbor (K-NN) techniques. Procedia Comput Sci 49:50\u201357","journal-title":"Procedia Comput Sci"},{"issue":"5","key":"16036_CR20","doi-asserted-by":"publisher","first-page":"e0196391","DOI":"10.1371\/journal.pone.0196391","volume":"13","author":"SR Livingstone","year":"2018","unstructured":"Livingstone SR, Russo FA (2018) 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","journal-title":"PloS One"},{"issue":"4","key":"16036_CR21","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/S0167-6393(03)00099-2","volume":"41","author":"TL Nwe","year":"2003","unstructured":"Nwe TL, Foo SW, De Silva LC (2003) Speech emotion recognition using hidden Markov models. Speech Commun 41(4):603\u2013623","journal-title":"Speech Commun"},{"issue":"13","key":"16036_CR22","doi-asserted-by":"publisher","first-page":"5858","DOI":"10.1016\/j.eswa.2014.03.026","volume":"41","author":"CS Ooi","year":"2014","unstructured":"Ooi CS, Seng KP, Ang L-M, Chew LW (2014) A new approach of audio emotion recognition. Expert Syst Appl 41(13):5858\u20135869","journal-title":"Expert Syst Appl"},{"key":"16036_CR23","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.apacoust.2018.11.028","volume":"146","author":"T \u00d6zseven","year":"2019","unstructured":"\u00d6zseven T (2019) A novel feature selection method for speech emotion recognition. Appl Acoust 146:320\u2013326","journal-title":"Appl Acoust"},{"issue":"4","key":"16036_CR24","first-page":"111","volume":"7","author":"HK Palo","year":"2018","unstructured":"Palo HK, Mohanty MN (2018) Comparative analysis of neural networks for speech emotion recognition. Int J Eng Technol 7(4):111\u2013126","journal-title":"Int J Eng Technol"},{"issue":"2","key":"16036_CR25","first-page":"101","volume":"6","author":"Y Pan","year":"2012","unstructured":"Pan Y, Shen P, Shen L (2012) Speech emotion recognition using support vector machine. Int J Smart Home 6(2):101\u2013108","journal-title":"Int J Smart Home"},{"issue":"2","key":"16036_CR26","first-page":"3603","volume":"3","author":"KS Rao","year":"2012","unstructured":"Rao KS, Kumar TP, Anusha K, Leela B, Bhavana I, Gowtham S (2012) Emotion recognition from speech. Int J Comput Sci Inf Technol 3(2):3603\u20133607","journal-title":"Int J Comput Sci Inf Technol"},{"issue":"3","key":"16036_CR27","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/j.ipm.2008.09.003","volume":"45","author":"J Rong","year":"2009","unstructured":"Rong J, Li G, Chen Y-PP (2009) Acoustic feature selection for automatic emotion recognition from speech. Inf Process Manage 45(3):315\u2013328","journal-title":"Inf Process Manage"},{"key":"16036_CR28","doi-asserted-by":"publisher","unstructured":"Shah RD, Suthar AC,\u00a0Student ME (2007) Speech emotion recognition based on SVM using MATLAB. Int J Innov Res Comput Commun Eng (An ISO Certif. Organ). https:\/\/doi.org\/10.15680\/IJIRCCE.2016.0403004","DOI":"10.15680\/IJIRCCE.2016.0403004"},{"issue":"6","key":"16036_CR29","first-page":"1067","volume":"4","author":"S Shambhavi","year":"2015","unstructured":"Shambhavi S, Nitnaware V (2015) Emotion speech recognition using MFCC and SVM. Int J Eng Res Technol 4(6):1067\u20131070","journal-title":"Int J Eng Res Technol"},{"key":"16036_CR30","doi-asserted-by":"publisher","unstructured":"Slimi A, Hamroun M, Zrigui M, Nicolas H\u00a0(2020) Emotion recognition from speech using spectrograms and shallow neural networks. In: Proceedings of the 18th International Conference on Advances in Mobile Computing & Multimedia,\u00a0pp 35\u201339. https:\/\/doi.org\/10.1145\/3428690.3429153","DOI":"10.1145\/3428690.3429153"},{"issue":"4","key":"16036_CR31","doi-asserted-by":"publisher","first-page":"e0250173","DOI":"10.1371\/journal.pone.0250173","volume":"16","author":"S Sultana","year":"2021","unstructured":"Sultana S, Rahman MS, Selim MR, Iqbal MZ (2021) SUST Bangla Emotional Speech Corpus (SUBESCO): An audio-only emotional speech corpus for Bangla. Plos One 16(4):e0250173","journal-title":"Plos One"},{"issue":"1","key":"16036_CR32","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/TAFFC.2015.2392101","volume":"6","author":"K Wang","year":"2015","unstructured":"Wang K, An N, Li BN, Zhang Y, Li L (2015) Speech emotion recognition using Fourier parameters. IEEE Trans Affect Comput 6(1):69\u201375","journal-title":"IEEE Trans Affect Comput"},{"issue":"5","key":"16036_CR33","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1016\/j.specom.2010.08.013","volume":"53","author":"S Wu","year":"2011","unstructured":"Wu S, Falk TH, Chan W-Y (2011) Automatic speech emotion recognition using modulation spectral features. Speech Commun 53(5):768\u2013785","journal-title":"Speech Commun"},{"key":"16036_CR34","doi-asserted-by":"publisher","first-page":"74539","DOI":"10.1109\/ACCESS.2021.3067460","volume":"9","author":"M Xu","year":"2021","unstructured":"Xu M, Zhang F, Zhang W (2021) Head Fusion: Improving the accuracy and robustness of speech emotion recognition on the IEMOCAP and RAVDESS Dataset. IEEE Access 9:74539\u201374549","journal-title":"IEEE Access"},{"issue":"5","key":"16036_CR35","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1016\/j.sigpro.2009.09.009","volume":"90","author":"B Yang","year":"2010","unstructured":"Yang B, Lugger M (2010) Emotion recognition from speech signals using new harmony features. Signal Process 90(5):1415\u20131423","journal-title":"Signal Process"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16036-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-16036-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16036-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T07:42:21Z","timestamp":1704699741000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-16036-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,19]]},"references-count":35,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["16036"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-16036-y","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,19]]},"assertion":[{"value":"15 January 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 April 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 June 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There is no conflict of Interest between the authors regarding the manuscript preparation and submission.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}