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Improved End-of-Query Detection for Streaming Speech Recognition.

, , , and . INTERSPEECH, page 1909-1913. ISCA, (2017)

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Measuring the perceptual effects of modelling assumptions in speech synthesis using stimuli constructed from repeated natural speech., , , , and . INTERSPEECH, page 1504-1508. ISCA, (2014)Optimizing Expected Word Error Rate via Sampling for Speech Recognition.. INTERSPEECH, page 3537-3541. ISCA, (2017)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)Fast, low-artifact speech synthesis considering global variance., and . ICASSP, page 7869-7873. IEEE, (2013)Improved End-of-Query Detection for Streaming Speech Recognition., , , and . INTERSPEECH, page 1909-1913. ISCA, (2017)Autoregressive HMMs for speech synthesis., and . INTERSPEECH, page 400-403. ISCA, (2009)The Effect of Using Normalized Models in Statistical Speech Synthesis., , and . INTERSPEECH, page 121-124. ISCA, (2011)Autoregressive clustering for HMM speech synthesis., and . INTERSPEECH, page 829-832. ISCA, (2010)Personalising Speech-To-Speech Translation in the EMIME Project., , , , , , , , , and 5 other author(s). ACL (System Demonstrations), page 48-53. The Association for Computer Linguistics, (2010)Autoregressive Models for Statistical Parametric Speech Synthesis., , and . IEEE Trans. Audio, Speech & Language Processing, 21 (3): 587-597 (2013)