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Data Selection and Adaptation for Naturalness in HMM-Based Speech Synthesis
2016
Interspeech 2016
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Can we identify metrics for selecting the best utterances in a found-data corpus for voice training, or for excluding utterances that will detract from the quality of the voice? Can we select a subset of training utterances from a corpus of found data to produce a better voice than one trained on all of the data? Can we adapt a voice towards the best utterances in a corpus, to improve the quality of the voice?
doi:10.21437/interspeech.2016-502
dblp:conf/interspeech/CooperCLH16
fatcat:o3enwb34sne5jejf6rs7ajg3mi