Invention Grant
- Patent Title: Unsupervised learning of disentangled speech content and style representation
-
Application No.: US17455667Application Date: 2021-11-18
-
Publication No.: US12027151B2Publication Date: 2024-07-02
- Inventor: Ruoming Pang , Andros Tjandra , Yu Zhang , Shigeki Karita
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Honigman LLP
- Agent Brett A. Krueger; Grant Griffith
- Main IPC: G10L13/027
- IPC: G10L13/027 ; G10L21/0308

Abstract:
A linguistic content and speaking style disentanglement model includes a content encoder, a style encoder, and a decoder. The content encoder is configured to receive input speech as input and generate a latent representation of linguistic content for the input speech output. The content encoder is trained to disentangle speaking style information from the latent representation of linguistic content. The style encoder is configured to receive the input speech as input and generate a latent representation of speaking style for the input speech as output. The style encoder is trained to disentangle linguistic content information from the latent representation of speaking style. The decoder is configured to generate output speech based on the latent representation of linguistic content for the input speech and the latent representation of speaking style for the same or different input speech.
Public/Granted literature
- US20220189456A1 Unsupervised Learning of Disentangled Speech Content and Style Representation Public/Granted day:2022-06-16
Information query