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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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The phonetics and phonology of Hong Kong English: a study of fricatives
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Intoxication and pitch control in tonal and non-tonal language speakers ...
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Acoustic Properties for the Kazakh Velar and Uvular Distribution
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In: Proceedings of the Workshop on Turkic and Languages in Contact with Turkic; Vol 6 (2021); 5061 ; 2641-3485 (2022)
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Glottal Sounds in Korebaju
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In: Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03337770 ; Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. pp.1011-1014, ⟨10.21437/Interspeech.2021-1417⟩ (2021)
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A multi-method approach to correlate identification in acoustic data: The case of Media Lengua
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 13 ; 1868-6354 (2021)
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Free Software Tools for Computational Linguistics: An Overview ...
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Free Software Tools for Computational Linguistics: An Overview ...
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Auditory and Acoustic Evidence for Palatalization of the Nasal Consonant in Cairene Arabic
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In: Languages ; Volume 6 ; Issue 4 (2021)
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Multi-Dimensional Variation in Adult Speech as a Function of Age
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In: Languages ; Volume 6 ; Issue 4 (2021)
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An acoustic analysis of Greek fricatives and vowels produced by adults and children ...
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Variabilitat en la realització del contrast en les sibilants sordes del català i del romanés ; Variation in the realization of Catalan and Romanian voiceless sibilant contrast
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In: Caplletra. Revista Internacional de Filologia.; Caplletra 71 (tardor 2021); 95-120 ; Caplletra. Revista Internacional de Filologia; Caplletra 71 (tardor 2021); 95-120 ; 2386-7159 ; 0214-8188 (2021)
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Phonological variation in German Learner English
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Sönning, Lukas. - : Otto-Friedrich-Universität, 2021. : Bamberg, 2021. : "040000", 2021
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Reconhecimento de fonemas utilizando redes neurais convolucionais para transcrição fonética automática ; Phoneme recognition using convolutional neural networks for automatic phonetic transcription
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Dijkstra, Bauke Alfredo. - : Universidade Tecnológica Federal do Paraná, 2021. : Ponta Grossa, 2021. : Brasil, 2021. : Programa de Pós-Graduação em Ciência da Computação, 2021. : UTFPR, 2021
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