Current trends in multilingual speech processing

By Hervé Bourlard, John Dines, Mathew Magimai-Doss, Philip N. Garner, David Imseng, Petr Motlícek, Hui Liang, L. Saheer, F. Valente. 2011

41 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Linguistics & Semantics, Speech & Audio, Signal Processing

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Citations in the corpus

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters (2020, background): “Introduction The use of multilingual ASR systems [1, 2, 3, 4, 5, 6, 7, 8, 9] that simultaneously transcribe multiple languages has recently become popular to increase language coverage, but covering all of the world’s ∼7000 languages is still far ahead.”
Unsupervised Cross-lingual Representation Learning for Speech Recognition (2020, background): “This has been a long standing interest in the speech community [1, 2, 3, 4, 5, 6, 7] which includes systems able to transcribe multiple languages [8, 9, 10, 11, 12].”
Bytes Are All You Need: End-to-end Multilingual Speech Recognition and Synthesis with Bytes (2018, background): “Expanding the coverage of the world’s languages in Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems have been attracting much interest in both academia and industry [1, 2].”
Multilingual acoustic models using distributed deep neural networks (2013, background): “An overview on cross- and multi-lingual speech recognition can be found in [26].”
A DNN-based Mandarin-Tibetan cross-lingual speech synthesis (2018, background): “Multilingual speech synthesis has been a hot area of research on speech synthesis for several years [1].”
Deep Learning for Mandarin-Tibetan Cross-Lingual Speech Synthesis (2022, background): “In recent years, cross-lingual speech synthesis has been a popular topic in text-to-speech synthesis (TTS) research [1], [2].”
Scaling Speech Technology to 1, 000+ Languages (2023, background): “…several important applications: despite much work on multilingual speech recognition [Burget et al., 2010, Lin et al., 2009, Heigold et al., 2013, Bourlard et al., 2011, Cho et al., 2018, Toshniwal et al., 2018, Kannan et al., 2019, Li et al., 2019, Pratap et al., 2020b], many deployed systems…”