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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...102 Hits 1 – 20 of 2.037 1 Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources McMillan-Major, Angelina; Alyafeai, Zaid; Biderman, Stella... In: https://hal.inria.fr/hal-03550289 ; 2022 (2022) BASE Show details 2 An Overview of Indian Spoken Language Recognition from Machine Learning Perspective Dey, Spandan; Sahidullah, Md; Saha, Goutam In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022) Abstract: International audience ; Automatic spoken language identification (LID) is a very important research field in the era of multilingual voice-command-based human-computer interaction (HCI). A front-end LID module helps to improve the performance of many speech-based applications in the multilingual scenario. India is a populous country with diverse cultures and languages. The majority of the Indian population needs to use their respective native languages for verbal interaction with machines. Therefore, the development of efficient Indian spoken language recognition systems is useful for adapting smart technologies in every section of Indian society. The field of Indian LID has started gaining momentum in the last two decades, mainly due to the development of several standard multilingual speech corpora for the Indian languages. Even though significant research progress has already been made in this field, to the best of our knowledge, there are not many attempts to analytically review them collectively. In this work, we have conducted one of the very first attempts to present a comprehensive review of the Indian spoken language recognition research field. In-depth analysis has been presented to emphasize the unique challenges of low-resource and mutual influences for developing LID systems in the Indian contexts. Several essential aspects of the Indian LID research, such as the detailed description of the available speech corpora, the major research contributions, including the earlier attempts based on statistical modeling to the recent approaches based on different neural network architectures, and the future research trends are discussed. This review work will help assess the state of the present Indian LID research by any active researcher or any research enthusiasts from related fields. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SCCO.LING]Cognitive science/Linguistics; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; acoustic phonetics; code-switching; corpora development; discriminative model; Indian language identification; Language resources; language similarity; Machine learning; Signal processing systems Low-resourced languages URL: https://hal.inria.fr/hal-03616853/file/TALLIP_Overview.pdf https://doi.org/10.1145/3523179 https://hal.inria.fr/hal-03616853 https://hal.inria.fr/hal-03616853/document BASE Hide details 3 A gentle introduction to Girard's Transcendental Syntax for the linear logician Eng, Boris In: https://hal.archives-ouvertes.fr/hal-02977750 ; 2022 (2022) BASE Show details 4 FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ... FAIRsharing Team. - : FAIRsharing, 2022 BASE Show details 5 Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ... Sabaté, Lara Narbona; Mesbahi, Geoffrey; Dezecache, Guillaume. - : Taylor & Francis, 2022 BASE Show details 6 Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ... Sabaté, Lara Narbona; Mesbahi, Geoffrey; Dezecache, Guillaume. - : Taylor & Francis, 2022 BASE Show details 7 The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ... Seaman, Karla; Ludlow, Kristiana; Wabe, Nasir. - : figshare, 2022 BASE Show details 8 The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ... Seaman, Karla; Ludlow, Kristiana; Wabe, Nasir. - : figshare, 2022 BASE Show details 9 Perspectives Organize Information in Mind and Nature: Empirical Findings of Point-View Perspective (P) in Cognitive and Material Complexity Derek Cabrera; Laura Cabrera; Elena Cabrera In: Systems; Volume 10; Issue 3; Pages: 52 (2022) BASE Show details 10 The “Fish Tank” Experiments: Metacognitive Awareness of Distinctions, Systems, Relationships, and Perspectives (DSRP) Significantly Increases Cognitive Complexity Derek Cabrera; Laura Cabrera; Elena Cabrera In: Systems; Volume 10; Issue 2; Pages: 29 (2022) BASE Show details 11 Distinctions Organize Information in Mind and Nature: Empirical Findings of Identity–Other Distinctions (D) in Cognitive and Material Complexity Derek Cabrera; Laura Cabrera; Elena Cabrera In: Systems; Volume 10; Issue 2; Pages: 41 (2022) BASE Show details 12 Systems Organize Information in Mind and Nature: Empirical Findings of Part-Whole Systems (S) in Cognitive and Material Complexity Derek Cabrera; Laura Cabrera; Elena Cabrera In: Systems; Volume 10; Issue 2; Pages: 44 (2022) BASE Show details 13 Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ... Rovetto, Robert J.. - : ESIP, 2022 BASE Show details 14 Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ... Rovetto, Robert J.. - : ESIP, 2022 BASE Show details 15 Modelling Maltese noun plural classes without morphemes ... Nieder, Jessica; Tomaschek, Fabian; Cohrs, Enum. - : Taylor & Francis, 2022 BASE Show details 16 Modelling Maltese noun plural classes without morphemes ... Nieder, Jessica; Tomaschek, Fabian; Cohrs, Enum. - : Taylor & Francis, 2022 BASE Show details 17 “There are endless areas that they can use it for”: speech-language pathologist perspectives of technology support for aphasia self-management ... Nichol, Leana; Pitt, Rachelle; Wallace, Sarah J.. - : Taylor & Francis, 2022 BASE Show details 18 “There are endless areas that they can use it for”: speech-language pathologist perspectives of technology support for aphasia self-management ... Nichol, Leana; Pitt, Rachelle; Wallace, Sarah J.. - : Taylor & Francis, 2022 BASE Show details 19 Using acoustic distance and acoustic absement to quantify lexical competition Matthew C. Kelley; Benjamin V. Tucker. - 2022 BASE Show details 20 ISSUES AND CHALLENGES IN INDIAN MULTI-LINGUAL AND MULTI SCRIPTS BIBLIOGRAPHIC RETRIEVAL SYSTEMS Kushwah, Shivpal Singh, Dr.; Singh, Ritu, Dr. In: Library Philosophy and Practice (e-journal) (2022) BASE Show details Page: 1 2 3 4 5...102

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