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Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis., , , , , , , and . Speech Commun., (2014)Pronunciation variant analysis using speaking style parallel corpus., , , and . INTERSPEECH, page 65-68. ISCA, (2001)Estimating Japanese word accent from syllable sequence using support vector machine., , , and . INTERSPEECH, page 2681-2684. ISCA, (2003)Long vowel detection for letter-to-sound conversion for Japanese sourced words transliterated into the alphabet., , , and . INTERSPEECH, page 1917-1920. ISCA, (2004)Collection and Analyses of Exemplary Speech Data to Establish Easy-to-Understand Speech Synthesis for Japanese Elderly Adults., and . O-COCOSDA, page 145-150. IEEE, (2020)Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems., , , , , , and . CoRR, (2021)Pronunciation variants description using recognition error modeling with phonetic derivation hypotheses., , and . INTERSPEECH, page 1093-1096. ISCA, (2000)Empirical Analysis of Training Strategies of Transformer-Based Japanese Chit-Chat Systems., , , , , , and . SLT, page 685-691. IEEE, (2022)HMM-based expressive speech synthesis based on phrase-level F0 context labeling., , , , , , , and . ICASSP, page 7859-7863. IEEE, (2013)Which resemblance is useful to predict phrase boundary rise labels for Japanese expressive text-to-speech synthesis, numerically-expressed stylistic or distribution-based semantic?, , , and . INTERSPEECH, page 1047-1051. ISCA, (2013)