公开(公告)号：US11282503B2

公开(公告)日：2022-03-22

申请号：US17095751

申请日：2020-11-12

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Ruotong Wang ,  Dongyan Huang ,  Xian Li ,  Jiebin Xie ,  Zhichao Tang ,  Wan Ding ,  Yang Liu ,  Bai Li ,  Youjun Xiong

IPC: G10L15/06 ,  G06N3/08 ,  G10L15/16 ,  G10L15/30 ,  G10L21/01 ,  G10L25/18 ,  G10L25/24 ,  G10L21/003

Abstract: The present disclosure discloses a voice conversion training method. The method includes: forming a first training data set including a plurality of training voice data groups; selecting two of the training voice data groups from the first training data set to input into a voice conversion neural network for training; forming a second training data set including the first training data set and a first source speaker voice data group; inputting one of the training voice data groups selected from the first training data set and the first source speaker voice data group into the network for training; forming the third training data set including the second source speaker voice data group and the personalized voice data group that are parallel corpus with respect to each other; and inputting the second source speaker voice data group and the personalized voice data group into the network for training.

公开(公告)号：US20210201890A1

公开(公告)日：2021-07-01

申请号：US17095751

申请日：2020-11-12

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Ruotong Wang ,  Dongyan Huang ,  Xian Li ,  Jiebin Xie ,  Zhichao Tang ,  Wan Ding ,  Yang Liu ,  Bai Li ,  Youjun Xiong

IPC: G10L15/06 ,  G10L15/16 ,  G10L21/01 ,  G10L25/18 ,  G10L25/24 ,  G10L15/30 ,  G06N3/08

Abstract: The present disclosure discloses a voice conversion training method. The method includes: forming a first training data set including a plurality of training voice data groups; selecting two of the training voice data groups from the first training data set to input into a voice conversion neural network for training; forming a second training data set including the first training data set and a first source speaker voice data group; inputting one of the training voice data groups selected from the first training data set and the first source speaker voice data group into the network for training; forming the third training data set including the second source speaker voice data group and the personalized voice data group that are parallel corpus with respect to each other; and inputting the second source speaker voice data group and the personalized voice data group into the network for training.