2019
Phonemic-level Duration Control Using Attention Alignment for Natural Speech Synthesis
ICASSP 2019accepted
Recent attention-based end-to-end speech synthesis from text systems have achieved human-level performance. However, many approaches cause a sequence-to-sequence model to generate only averaged results of the input text, making it difficult to control the duration of utterance. In this study, we pre…