Glottal features extraction using neural networks
GB202500163D0Pending Publication Date: 2025-02-19THE PROVOST FELLOWS SCHOLARS & OTHER MEMBERS OF THE BOARD OF TRINITY COLLEGE DUBLIN
View PDF 0 Cites 0 Cited by
Patent Information
- Application Number
- GB2025000163
- Authority / Receiving Office
- GB · GB
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-06-19
- Filing Date
- 2023-06-19
- Publication Date
- 2025-02-19
Abstract
Disclosed is a method for predicting acoustic features including glottal parameters of an acoustic glottal source model that includes extracting one or more glottal parameters from one or more input s
Need to check novelty before this filing date? Find Prior Art