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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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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)
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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.
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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
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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
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Using a pupal exuvia to designate the undamaged neotype of a species belonging to a complex of sibling species – the case of Aedes coluzzii (Diptera, Culicidae)
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In: ISSN: 1252-607X ; EISSN: 1776-1042 ; Parasite ; https://hal.archives-ouvertes.fr/hal-03623918 ; Parasite, EDP Sciences, 2022, 29, pp.1-8. ⟨10.1051/parasite/2022020⟩ (2022)
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Language identification, a tool for Corsican and for the evaluation of linguistic resources ; L'identification de langue, un outil au service du corse et de l'évaluation des ressources linguistiques
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In: Traitement Automatique des Langues ; https://hal.archives-ouvertes.fr/hal-03633290 ; Traitement Automatique des Langues, 2022, Diversité Linguistique, 62 (3), pp.13-37 ; https://www.atala.org/content/diversité-linguistique-linguistic-diversity-natural-language-processing (2022)
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The Twitter user dataset for discriminating between Bosnian, Croatian, Montenegrin and Serbian Twitter-HBS 1.0
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The news dataset for discriminating between Bosnian, Croatian and Serbian SETimes.HBS 1.0
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Особая роль акустических коррелятов речи (применительно к задачам криминалистики) ... : Special role of acoustic correlates (in relation to forensic purposes) ...
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Об истории речевых исследований в России ... : About the history of speech research in Russia ...
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INTEGRATION OF PHONOTACTIC FEATURES FOR LANGUAGE IDENTIFICATION ON CODE-SWITCHED SPEECH ...
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INTEGRATION OF PHONOTACTIC FEATURES FOR LANGUAGE IDENTIFICATION ON CODE-SWITCHED SPEECH ...
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Effects of Spatial Speech Presentation on Listener Response Strategy for Talker-Identification ...
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Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting
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In: Brain Sciences; Volume 12; Issue 5; Pages: 559 (2022)
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Phonetic Effects in the Perception of VOT in a Prevoicing Language
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In: Brain Sciences; Volume 12; Issue 4; Pages: 427 (2022)
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Identifying Source-Language Dialects in Translation
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In: Mathematics; Volume 10; Issue 9; Pages: 1431 (2022)
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Word Order, Intonation, and Prosodic Phrasing: Individual Differences in the Production and Identification of Narrow and Wide Focus in Urdu
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In: Languages; Volume 7; Issue 2; Pages: 103 (2022)
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Spinning words as disguise: Shady services for ethical research?
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In: First Monday; Volume 27, Number 1 - 3 January 2022 ; 1396-0466 (2022)
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Word Order, Intonation, and Prosodic Phrasing: Individual Differences in the Production and Identification of Narrow and Wide Focus in Urdu
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Predicting lexical complexity in English texts: the Complex 2.0 dataset
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Semantic modelling of self-realization of the personality ; Modelado semántico de auto-realización de la personalidad
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In: Anales de Psicología / Annals of Psychology; Vol. 38 No. 1 (2022): January - April; 163-176 ; Anales de Psicología / Annals of Psychology; Vol. 38 Núm. 1 (2022): Enero - Abril; 163-176 ; 1695-2294 ; 0212-9728 (2022)
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