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Learning acoustic frame labeling for speech recognition with recurrent neural networks.

, , , , , , and . ICASSP, page 4280-4284. IEEE, (2015)

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Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages., , , , , , , , , and 17 other author(s). CoRR, (2023)Language modeling for what-with-where on GOOG-411., , and . INTERSPEECH, page 991-994. ISCA, (2009)Building 10, 000 spoken dialogue systems., , , , , , and . ICSLP, page 709-712. ISCA, (1996)A Filter-Based Algorithm for Efficient Composition of Finite-State Transducers., , and . Int. J. Found. Comput. Sci., 22 (8): 1781-1795 (2011)Speech recognition using syllable-like units., , , and . ICSLP, page 1117-1120. ISCA, (1996)``Your Word is my Command'': Google Search by Voice: A Case Study, , , , , , , and . Advances in Speech Recognition: Mobile Environments, Call Centers and Clinics, chapter 4, Springer, New York, (2010)Gemini: A Family of Highly Capable Multimodal Models., , , , , , , , , and 42 other author(s). CoRR, (2023)Filters for Efficient Composition of Weighted Finite-State Transducers., , and . CIAA, volume 6482 of Lecture Notes in Computer Science, page 28-38. Springer, (2010)Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR., , , , , and . ICASSP, page 1-5. IEEE, (2023)A prototype voice-response questionnaire for the u.s. census., , , , , , and . ICSLP, page 683-686. ISCA, (1994)