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An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces.

, , , and . INTERSPEECH, page 254-257. ISCA, (2000)

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Towards Personalised Synthesised Voices for Individuals with Vocal Disabilities: Voice Banking and Reconstruction., , and . SLPAT, page 107-111. Association for Computational Linguistics, (2013)Soft context clustering for F0 modeling in HMM-based speech synthesis., , and . EURASIP J. Adv. Sig. Proc., (2015)Anti-Spoofing for Text-Independent Speaker Verification: An Initial Database, Comparison of Countermeasures, and Human Performance., , , , , , , , , and 1 other author(s). IEEE/ACM Trans. Audio, Speech & Language Processing, 24 (4): 768-783 (2016)A Template-Based Approach for Speech Synthesis Intonation Generation Using LSTMs., , , and . INTERSPEECH, page 2463-2467. ISCA, (2016)Impact of Different Speech Types on Listening Effort., , and . INTERSPEECH, page 2267-2271. ISCA, (2018)Evaluating speech intelligibility enhancement for HMM-based synthetic speech in noise., , and . SAPA@INTERSPEECH, page 22-27. ISCA, (2012)Mage - HMM-based speech synthesis reactively controlled by the articulators., , , , , , and . SSW, page 243. ISCA, (2013)Combining a vector space representation of linguistic context with a deep neural network for text-to-speech synthesis., , and . SSW, page 261-265. ISCA, (2013)Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project., , , , , , , , , and 9 other author(s). SSW, page 192-197. ISCA, (2010)Subjective evaluation of join cost and smoothing methods for unit selection speech synthesis., and . IEEE Trans. Audio, Speech & Language Processing, 14 (5): 1763-1771 (2006)