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Recent Advances in Google Real-Time HMM-Driven Unit Selection Synthesizer.

, , , , , and . INTERSPEECH, page 2238-2242. ISCA, (2016)

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High Quality Emotional HMM-Based Synthesis in Spanish., , , , and . NOLISP, volume 5933 of Lecture Notes in Computer Science, page 26-34. Springer, (2009)Text-to-speech with cross-lingual neural network-based grapheme-to-phoneme models., and . INTERSPEECH, page 765-769. ISCA, (2014)Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale., , , , , , , and . INTERSPEECH, page 1278-1282. ISCA, (2019)EnergyNet: Energy-based Adaptive Structural Learning of Artificial Neural Network Architectures., and . CoRR, (2017)Deep Fusion: Efficient Network Training via Pre-trained Initializations., , and . CoRR, (2023)Local minimum generation error criterion for hybrid HMM speech synthesis., , , , and . INTERSPEECH, page 416-419. ISCA, (2009)Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody Estimation., , , , and . NOLISP, volume 4885 of Lecture Notes in Computer Science, page 78-85. Springer, (2007)AdaNet: Adaptive Structural Learning of Artificial Neural Networks., , , , and . CoRR, (2016)Simulated Overparameterization., , , and . CoRR, (2024)Towards High-Quality Next-Generation Text-to-Speech Synthesis: A Multidomain Approach by Automatic Domain Classification., , , and . IEEE Trans. Speech Audio Process., 16 (7): 1340-1354 (2008)