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Fusion of multiple parameterisations for DNN-based sinusoidal speech synthesis with multi-task learning.

, , , , , and . INTERSPEECH, page 854-858. ISCA, (2015)

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Fusion of multiple parameterisations for DNN-based sinusoidal speech synthesis with multi-task learning., , , , , and . INTERSPEECH, page 854-858. ISCA, (2015)A fixed dimension and perceptually based dynamic sinusoidal model of speech., , , , , and . ICASSP, page 6270-6274. IEEE, (2014)Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral coefficients to increase the glimpse proportion., , , and . Computer Speech & Language, 28 (2): 665-686 (2014)Towards the development of a brazilian portuguese text-to-speech system based on HMM., , , , and . INTERSPEECH, ISCA, (2003)HMM-based european Portuguese TTS system., , , , and . INTERSPEECH, page 2581-2584. ISCA, (2005)Minimum mean squared error based warped complex cepstrum analysis for statistical parametric speech synthesis., , , and . INTERSPEECH, page 2336-2340. ISCA, (2013)Multi-stream spectral representation for statistical parametric speech synthesis., , and . ICASSP, page 5160-5164. IEEE, (2016)Multipulse Sequences for Residual Signal Modeling., , , , and . INTERSPEECH, page 1833-1836. ISCA, (2011)A decision tree-based clustering approach to state definition in an excitation modeling framework for HMM-based speech synthesis., , , , and . INTERSPEECH, page 1783-1786. ISCA, (2009)An excitation model for HMM-based speech synthesis based on residual modeling., , , , and . SSW, page 131-136. ISCA, (2007)