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Articulatory and Stacked Bottleneck Features for Low Resource Speech Recognition.

, , , , , , and . INTERSPEECH, page 3202-3206. ISCA, (2018)

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Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages., , and . INTERSPEECH, page 3037-3041. ISCA, (2016)Multilingual and code-switching ASR challenges for low resource Indian languages., , , , , , , , , and 12 other author(s). CoRR, (2021)Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers., , , , , , , , , and . LREC, page 2819-2826. European Language Resources Association, (2020)Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition., , , and . INTERSPEECH, page 2150-2154. ISCA, (2019)On Improving Acoustic Models for TORGO Dysarthric Speech Database., , and . INTERSPEECH, page 2695-2699. ISCA, (2017)Joint Estimation of Articulatory Features and Acoustic Models for Low-Resource Languages., , and . INTERSPEECH, page 2153-2157. ISCA, (2017)Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition., , and . INTERSPEECH, page 798-802. ISCA, (2016)Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS., , , and . INTERSPEECH, page 4771-4775. ISCA, (2020)End-to-End ASR for Code-switched Hindi-English Speech., , , , and . CoRR, (2019)An automated technique to generate phone-to-articulatory label mapping., and . Speech Commun., (2017)