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Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR.

, , , , , и . CoRR, (2022)

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Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR., , , , , и . ICASSP, стр. 1-5. IEEE, (2023)Formant re-synthesis of dysarthric speech., , , , и . SSW, стр. 25-30. ISCA, (2004)Leveraging Large Language Models for Exploiting ASR Uncertainty., , , , , , и . CoRR, (2023)A formant-trajectory model and its usage in comparing coarticulatory effects in dysarthric and normal speech., и . MAVEBA, стр. 233-236. Firenze University Press / ISCA, (2003)Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR., , , , , и . CoRR, (2022)KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know., , , , , и . CoRR, (2023)Applications of computer generated expressive speech for communication disorders., , , , , , , и . INTERSPEECH, стр. 1657-1660. ISCA, (2003)Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation., , , , , и . INTERSPEECH, стр. 4288-4292. ISCA, (2020)A noninvasive, low-cost device to study the velopharyngeal port during speech and some preliminary results., , и . INTERSPEECH, ISCA, (2006)Estimation of the acoustic properties of the nasal tract during the production of nasalized vowels., , и . INTERSPEECH, стр. 1045-1048. ISCA, (2005)