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Cambridge university transcription systems for the multi-genre broadcast challenge., , , , , , , and . ASRU, page 639-646. IEEE, (2015)Cross-lingual Style Transfer with Conditional Prior VAE and Style Loss., , , , , and . INTERSPEECH, page 4586-4590. ISCA, (2022)I-vector estimation using informative priors for adaptation of deep neural networks., , and . INTERSPEECH, page 2872-2876. ISCA, (2015)Speaker diarisation and longitudinal linking in multi-genre broadcast data., , , , , , , and . ASRU, page 660-666. IEEE, (2015)Combining i-vector representation and structured neural networks for rapid adaptation., , and . ICASSP, page 5000-5004. IEEE, (2016)I-Vectors and Structured Neural Networks for Rapid Adaptation of Acoustic Models., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (4): 818-828 (2017)Controllable Emphasis with zero data for text-to-speech., , , , , , , , , and 4 other author(s). CoRR, (2023)Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody., , , , , , , and . CoRR, (2022)Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech., , , , , , and . ICASSP, page 6573-6577. IEEE, (2021)CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer., , , , , , , , , and . CoRR, (2022)