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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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| 2 |
Didactique de l’oral et interactions : rétrospective méthodologie et expérimentation en contexte algérien
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In: ISSN: 0077-2712 ; EISSN: 1952-4250 ; Mélanges CRAPEL ; https://hal.archives-ouvertes.fr/hal-03630135 ; Mélanges CRAPEL, Centre de recherches et d'applications pédagogiques en langues, 2022, Enseignement du français parlé aujourd’hui : Recherches et expériences de terrain, Mélanges CRAPEL (43/1) ; https://www.atilf.fr/wp-content/uploads/publications/MelangesCrapel/Melanges_43_1_6_Cortier_et_al.pdf (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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Machine Translation and Gender biases in video game localisation: a corpus-based analysis
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In: https://hal.archives-ouvertes.fr/hal-03540605 ; 2022 (2022)
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Gendered body language in children’s literature over time ...
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Measuring Terminology Consistency in Translated Corpora: Implementation of the Herfindahl-Hirshman Index
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In: Information; Volume 13; Issue 2; Pages: 43 (2022)
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Frequency, Informativity and Word Length: Insights from Typologically Diverse Corpora
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In: Entropy; Volume 24; Issue 2; Pages: 280 (2022)
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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| 14 |
DCT vs. corpus orales: reflexiones metodológicas sobre el estudio de los actos de habla ; DCT vs. spoken corpora: methodologic reflections on the study of speech acts
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In: Pragmalingüística, (29), 377-395 (2022)
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Source language difficulties in learner translation: Evidence from an error-annotated corpus
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ANLIzing the Adversarial Natural Language Inference Dataset
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In: Proceedings of the Society for Computation in Linguistics (2022)
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| 17 |
Chinese Idioms: Stepping Into L2 Student’s Shoes
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In: Acta Linguistica Asiatica, Vol 12, Iss 1 (2022) (2022)
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A Navigation Tool for Exploring Semantic Web Corpora
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In: Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks ; https://hal.univ-lorraine.fr/hal-03485155 ; Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks, Oct 2021, Virtual conference, France (2021)
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| 20 |
A Semantic Web Navigation Tool for Exploring the Henri Poincaré Correspondence Corpus
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In: Proceedings of the International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage ; https://hal.univ-lorraine.fr/hal-03406713 ; Proceedings of the International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage, Antonis Bikakis, Roberta Ferrario, Stéphane Jean, Béatrice Markhoff, Alessandro Mosca, Marianna and Nicolosi Asmundo, Sep 2021, Bolzano, Italy (2021)
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