APPARATUS FOR DEEP LEARNING BASED TEXT-TO-SPEECH SYNTHESIZING BY USING MULTI-SPEAKER DATA AND METHOD FOR THE SAME
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United States of America Patent
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Jan 17, 2019
app pub date -
Jul 13, 2018
filing date -
Jul 13, 2018
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Abstract
Disclosed is a method and apparatus for training a speech signal. A speech signal training apparatus of the present disclosure may include a target speaker speech database storing a target speaker speech signal; a multi-speaker speech database storing a multi-speaker speech signal; a target speaker acoustic parameter extracting unit extracting an acoustic parameter of a training subject speech signal from the target speaker speech signal; a similar speaker acoustic parameter determining unit extracting at least one similar speaker speech signal from the multi-speaker speech signals, and determining an auxiliary speech feature of the similar speaker speech signal; and an acoustic parameter model training unit determining an acoustic parameter model by performing model training for a relation between the acoustic parameter and text by using the acoustic parameter and the auxiliary speech feature, and setting mapping information of the relation between the acoustic parameter model and the text.
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