{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T02:42:55Z","timestamp":1778640175420,"version":"3.51.4"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T00:00:00Z","timestamp":1630627200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T00:00:00Z","timestamp":1630627200000},"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":["SN COMPUT. SCI."],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1007\/s42979-021-00750-1","type":"journal-article","created":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T18:53:22Z","timestamp":1630695202000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Improving Indian Spoken-Language Identification by Feature Selection in Duration Mismatch Framework"],"prefix":"10.1007","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5784-3696","authenticated-orcid":false,"given":"Aarti","family":"Bakshi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunil Kumar","family":"Kopparapu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,3]]},"reference":[{"key":"750_CR1","first-page":"4","volume":"43","author":"B Aarti","year":"2018","unstructured":"Aarti B, Kopparapu SK. Spoken Indian language identification: a review of features and databases. Sadhana (Acad Proc Eng Sci). 2018;43:4.","journal-title":"Sadhana (Acad Proc Eng Sci)."},{"key":"750_CR2","doi-asserted-by":"crossref","unstructured":"Torres-Carrasquillo P.A, Singer E, Kohler M.A, Greene R.J, Reynolds D.A, Deller J.R. Approaches to language identification using Gaussian mixture models and shifted delta cepstral features. In: INTERSPEECH 2002.","DOI":"10.1109\/ICASSP.2002.1005850"},{"key":"750_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-020-04430-9","author":"H Das","year":"2020","unstructured":"Das H, Roy P. Bottleneck feature-based hybrid deep autoencoder approach for Indian language identification. Arab J Sci Eng. 2020. https:\/\/doi.org\/10.1007\/s13369-020-04430-9.","journal-title":"Arab J Sci Eng."},{"issue":"5","key":"750_CR4","doi-asserted-by":"publisher","first-page":"2266","DOI":"10.1007\/s00034-018-0962-x","volume":"38","author":"C China\u00a0Bhanja","year":"2019","unstructured":"China\u00a0Bhanja C, Laskar MA, Laskar RH. A pre-classification-based language identification for Northeast Indian languages using prosody and spectral features. Circuits Syst. Signal Process 2019; 38(5):2266. https:\/\/doi.org\/10.1007\/s00034-018-0962-x.","journal-title":"Circuits Syst. Signal Process"},{"key":"750_CR5","doi-asserted-by":"publisher","unstructured":"Koolagudi SG, Rastogi D. Spoken language identification using spectral features. Contemporary Computing. IC3 2012. Communications in Computer and Information Science. https:\/\/doi.org\/10.1007\/978-3-642-32129-0_52.","DOI":"10.1007\/978-3-642-32129-0_52"},{"key":"750_CR6","doi-asserted-by":"publisher","first-page":"182868","DOI":"10.1109\/ACCESS.2020.3028121","volume":"8","author":"S Guha","year":"2020","unstructured":"Guha S, Das A, Singh PK, Ahmadian A, Senu N, Sarkar R. Hybrid feature selection method based on harmony search and naked mole-rat algorithms for spoken language identification from audio signals. IEEE Access. 2020;8:182868. https:\/\/doi.org\/10.1109\/ACCESS.2020.3028121.","journal-title":"IEEE Access."},{"key":"750_CR7","doi-asserted-by":"crossref","unstructured":"Travadi R, Segbroeck MV, Narayanan SS. Modified-prior i-vector estimation for language identification of short duration utterances. In: INTERSPEECH (2014).","DOI":"10.21437\/Interspeech.2014-609"},{"key":"750_CR8","doi-asserted-by":"publisher","unstructured":"Wang M, Song Y, Jiang B, Dai L, McLoughlin I. Exemplar based language recognition method for short-duration speech segments. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. 2013. pp. 7354\u20138. https:\/\/doi.org\/10.1109\/ICASSP.2013.6639091.","DOI":"10.1109\/ICASSP.2013.6639091"},{"key":"750_CR9","doi-asserted-by":"crossref","unstructured":"Dehak N, Torres-Carrasquillo P, Reynolds D, Dehak R. Language recognition via i-vectors and dimensionality reduction. In: INTERSPEECH (2011).","DOI":"10.21437\/Interspeech.2011-328"},{"key":"750_CR10","doi-asserted-by":"publisher","unstructured":"Poddar A, Sahidullah M, Saha G. Performance comparison of speaker recognition systems in presence of duration variability. In: 2015 Annual IEEE India Conference (INDICON). 2015, pp. 1\u20136. https:\/\/doi.org\/10.1109\/INDICON.2015.7443464.","DOI":"10.1109\/INDICON.2015.7443464"},{"issue":"2","key":"750_CR11","doi-asserted-by":"publisher","first-page":"1114","DOI":"10.11591\/eei.v10i2.2861","volume":"10","author":"A Bakshi","year":"2021","unstructured":"Bakshi A, Kopparapu SK. GMM supervector approach for spoken Indian language identification for mismatch utterance length. Bull Elect Eng Inform. 2021; 10(2):1114. https:\/\/doi.org\/10.11591\/eei.v10i2.2861. https:\/\/beei.org\/index.php\/EEI\/article\/view\/2861\/2151.","journal-title":"Bull Elect Eng Inform"},{"key":"750_CR12","doi-asserted-by":"publisher","first-page":"38597","DOI":"10.1109\/ACCESS.2019.2905633","volume":"7","author":"SM Kasongo","year":"2019","unstructured":"Kasongo SM, Sun Y. A deep learning method with filter based feature engineering for wireless intrusion detection system. IEEE Access. 2019;7:38597.","journal-title":"IEEE Access."},{"issue":"10","key":"750_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0108975","volume":"9","author":"A Arruti","year":"2014","unstructured":"Arruti A, Cearreta I, Alvarez A, Lazkano E, Sierra B. Feature selection for speech emotion recognition in Spanish and Basque: on the use of machine learning to improve human-computer interaction. PLOS One. 2014;9(10):1. https:\/\/doi.org\/10.1371\/journal.pone.0108975.","journal-title":"PLOS One."},{"issue":"7","key":"750_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0219683","volume":"14","author":"B Wutzl","year":"2019","unstructured":"Wutzl B, Leibnitz K, Rattay F, Kronbichler M, Murata M, Golaszewski SM. Genetic algorithms for feature selection when classifying severe chronic disorders of consciousness. PLOS One. 2019;14(7):1. https:\/\/doi.org\/10.1371\/journal.pone.0219683.","journal-title":"PLOS One."},{"key":"750_CR15","doi-asserted-by":"crossref","unstructured":"Venkatesh B., Anuradha J. A review of feature selection and its methods. Cybernet Inf Technol 2019;19.","DOI":"10.2478\/cait-2019-0001"},{"issue":"1","key":"750_CR16","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1080\/0952813X.2019.1631392","volume":"32","author":"AA Chowdhury","year":"2020","unstructured":"Chowdhury AA, Borkar VS, Birajdar GK. Indian language identification using time-frequency image textural descriptors and GWO-based feature selection. J Exp Theor Artif Intell. 2020;32(1):111. https:\/\/doi.org\/10.1080\/0952813X.2019.1631392.","journal-title":"J Exp Theor Artif Intell."},{"key":"750_CR17","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.procs.2015.06.027","volume":"54","author":"VR Kumar","year":"2015","unstructured":"Kumar VR, Vydana HK, Vuppala AK. Significance of GMM-UBM based modelling for Indian language identification. Procedia Comput Sci. 2015;54:231.","journal-title":"Procedia Comput Sci."},{"issue":"2","key":"750_CR18","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.csl.2005.06.003","volume":"20","author":"WM Campbell","year":"2015","unstructured":"Campbell WM, Campbell JP, Reynolds DA, Singer E, Torres-Carrasquillo PA. Support vector machines for speaker and language recognition. Comput. Speech. Lang. 2006;20(2):210. https:\/\/doi.org\/10.1016\/j.csl.2005.06.003. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0885230805000318.","journal-title":"Comput. Speech. Lang."},{"key":"750_CR19","doi-asserted-by":"publisher","unstructured":"Sengupta D, Saha G. Automatic recognition of major language families in Indian. In: 2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) (2012), pp. 1\u20134. https:\/\/doi.org\/10.1109\/IHCI.2012.6481844.","DOI":"10.1109\/IHCI.2012.6481844"},{"key":"750_CR20","doi-asserted-by":"publisher","unstructured":"Aarti B, Kopparapu SK. Spoken Indian language classification using ANN and Multi-Class SVM. In: 2018 International Conference On Advances in Communication and Computing Technology (ICACCT). 2018. pp. 213\u20138. https:\/\/doi.org\/10.1109\/ICACCT.2018.8529569.","DOI":"10.1109\/ICACCT.2018.8529569"},{"issue":"3","key":"750_CR21","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1016\/j.dsp.2011.11.008","volume":"22","author":"S Jothilakshmi","year":"2012","unstructured":"Jothilakshmi S, Ramalingam V, Palanivel S. A hierarchical language identification system for Indian languages. Digit Signal Process. 2012;22(3):544. https:\/\/doi.org\/10.1016\/j.dsp.2011.11.008. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1051200412000097.","journal-title":"Digit Signal Process."},{"key":"750_CR22","doi-asserted-by":"publisher","unstructured":"Aarti B, Kopparapu SK. Spoken Indian language classification using artificial neural network\u2014An experimental study. In: 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN). 2017. pp. 424\u2013430. https:\/\/doi.org\/10.1109\/SPIN.2017.8049987.","DOI":"10.1109\/SPIN.2017.8049987"},{"key":"750_CR23","doi-asserted-by":"publisher","first-page":"17098","DOI":"10.1109\/ACCESS.2019.2896453","volume":"7","author":"F Adeeba","year":"2019","unstructured":"Adeeba F, Hussain S. Native language identification in very short utterances using bidirectional long short-term memory network. IEEE Access. 2019;7:17098.","journal-title":"IEEE Access."},{"key":"750_CR24","doi-asserted-by":"crossref","unstructured":"Schuller B, Steidl S, Batliner A, Burkhardt F, Devillers L, M\u00fcller C, Narayanan S. The INTERSPEECH 2010 paralinguistic challenge. In: Proc. Interspeech. 2010.","DOI":"10.21437\/Interspeech.2010-739"},{"key":"750_CR25","doi-asserted-by":"publisher","unstructured":"Eyben F, W\u00f6llmer M, Schuller B. Opensmile: the munich versatile and fast open-source audio feature extractor. In: Proceedings of the 18th ACM International Conference on Multimedia. New York, NY: Association for Computing Machinery. 2010, MM \u201910. pp. 1459\u201362. https:\/\/doi.org\/10.1145\/1873951.1874246.","DOI":"10.1145\/1873951.1874246"},{"key":"750_CR26","doi-asserted-by":"publisher","unstructured":"Bakshi A, Kopparapu SK. Spoken Indian language identification (2020). https:\/\/doi.org\/10.21227\/xm4q-s210.","DOI":"10.21227\/xm4q-s210"},{"key":"750_CR27","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1007\/s10772-017-9466-5","volume":"20","author":"S Koolagudi","year":"2017","unstructured":"Koolagudi S, Bharadwaj A, Murthy S, et al. Dravidian language classification from speech signal using spectral and prosodic features. Int J Speech Technol. 2017;20:1005. https:\/\/doi.org\/10.1007\/s10772-017-9466-5.","journal-title":"Int J Speech Technol"},{"key":"750_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0146917","volume":"11","author":"R Zazo","year":"2016","unstructured":"Zazo R, Lozano-Diez A, Gonzalez-Dominguez J, Toledano DT, Gonzalez-Rodriguez J. Language identification in short utterances using long short-term memory (LSTM) recurrent neural networks. PLOS One. 2016;11:1. https:\/\/doi.org\/10.1371\/journal.pone.0146917. https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0146917.","journal-title":"PLOS One"},{"key":"750_CR29","doi-asserted-by":"crossref","unstructured":"Fernando S, Sethu V, Ambikairajah E, Epps J. Bidirectional modelling for short duration language identification. In: INTERSPEECH. 2017.","DOI":"10.21437\/Interspeech.2017-286"},{"key":"750_CR30","doi-asserted-by":"crossref","unstructured":"Justus D, Brennan J, Bonner S, McGough AS. Predicting the computational cost of deep learning models. CoRR. 2018. http:\/\/arxiv.org\/abs\/1811.11880.","DOI":"10.1109\/BigData.2018.8622396"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-021-00750-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-021-00750-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-021-00750-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T20:53:20Z","timestamp":1635627200000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-021-00750-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,3]]},"references-count":30,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["750"],"URL":"https:\/\/doi.org\/10.1007\/s42979-021-00750-1","relation":{},"ISSN":["2662-995X","2661-8907"],"issn-type":[{"value":"2662-995X","type":"print"},{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,3]]},"assertion":[{"value":"10 December 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"442"}}