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Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
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In: https://hal.inria.fr/hal-03550289 ; 2022 (2022)
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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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| 3 |
A gentle introduction to Girard's Transcendental Syntax for the linear logician
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In: https://hal.archives-ouvertes.fr/hal-02977750 ; 2022 (2022)
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| 4 |
Similarity between person roles in a card sorting experiment ...
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| 5 |
FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ...
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| 6 |
How ISO C became unusable for operating systems development ...
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| 7 |
A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ...
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A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ...
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| 9 |
The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ) ...
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| 10 |
The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ) ...
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| 11 |
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication ...
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| 12 |
Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ...
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| 13 |
Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ...
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| 14 |
The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ...
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| 15 |
The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ...
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| 16 |
gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach ...
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| 17 |
A Literature Survey of Recent Advances in Chatbots
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In: Information; Volume 13; Issue 1; Pages: 41 (2022)
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| 18 |
Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ...
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| 19 |
Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ...
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| 20 |
On the role of population heterogeneity in emergent communication ...
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