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Investigating the Effects of Noisy and Reverberant Speech in Text-to-Speech Systems.

, , , and . INTERSPEECH, page 1511-1515. ISCA, (2019)

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Speaker diarisation and longitudinal linking in multi-genre broadcast data., , , , , , , and . ASRU, page 660-666. IEEE, (2015)Unsupervised segmentation of triplet Markov chains hidden with long-memory noise., , and . Signal Process., 88 (5): 1134-1151 (2008)Unsupervised restoration of hidden nonstationary Markov chains using evidential priors., and . IEEE Trans. Signal Process., 53 (8-2): 3091-3098 (2005)Investigating the Effects of Noisy and Reverberant Speech in Text-to-Speech Systems., , , and . INTERSPEECH, page 1511-1515. ISCA, (2019)Recurrent neural network language model adaptation for multi-genre broadcast speech recognition., , , , , , and . INTERSPEECH, page 3511-3515. ISCA, (2015)Speaker Adaptation of a Multilingual Acoustic Model for Cross-Language Synthesis., , , , , and . ICASSP, page 7629-7633. IEEE, (2020)Enhanced Virtual Singers Generation by Incorporating Singing Dynamics to Personalized Text-to-speech-to-singing., , , , , and . ICASSP, page 6960-6964. IEEE, (2019)The development of the cambridge university alignment systems for the multi-genre broadcast challenge., , , , , , , and . ASRU, page 647-653. IEEE, (2015)Objective evaluation of the Dynamic Model Selection method for spectral voice conversion., and . ICASSP, page 5132-5135. IEEE, (2011)Symbolic Modeling of Prosody: From Linguistics to Statistics., and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (3): 588-599 (2015)