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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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A fixed dimension and perceptually based dynamic sinusoidal model of speech., , , , , and . ICASSP, page 6270-6274. IEEE, (2014)Fusion of multiple parameterisations for DNN-based sinusoidal speech synthesis with multi-task learning., , , , , and . INTERSPEECH, page 854-858. ISCA, (2015)Expressive visual text to speech and expression adaptation using deep neural networks., , , and . ICASSP, page 4920-4924. IEEE, (2017)Multi-stream spectral representation for statistical parametric speech synthesis., , and . ICASSP, page 5160-5164. IEEE, (2016)Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral coefficients to increase the glimpse proportion., , , and . Comput. Speech Lang., 28 (2): 665-686 (2014)Towards the development of a brazilian portuguese text-to-speech system based on HMM., , , , and . INTERSPEECH, page 2465-2468. 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)Iterative estimation of phase using complex cepstrum representation., and . ICASSP, page 4990-4994. IEEE, (2016)Methods for applying dynamic sinusoidal models to statistical parametric speech synthesis., , , , and . ICASSP, page 4889-4893. IEEE, (2015)