Project Details

Zvýšení spolehlivosti v automatickém rozpoznávání řečníka

Project Period: 1. 1. 2017 - 31. 12. 2019

Project Type: grant

Code: GJ17-23870Y

Agency: Czech Science Foundation

Program: Juniorské granty

English title
Improving Robustnes in Automatic Speaker Recognition
Type
grant
Keywords

automatic speaker recognition;robustness;adaptation;speech

Abstract

Speaker recognition systems have gained very high recognition performance in the recent years. However, it has been shown that system performance degrades when the recognition data domain differs from the one used for system parameter training. Also, introducing additive noise (e.g. background traffic noise), convolutive noise (e.g. reverb of the room), or channel noise (e.g. telephone codec) to the recording further degrades the performance. The solutions to these issues are to a) seek for techniques for robust modeling, and b) to develop methods for system adaptation. In this project, we want to focus on both of these approaches.

Team members
Glembek Ondřej, Ing., Ph.D. (UPGM FIT VUT) , research leader
Fér Radek, Ing. (UPGM FIT VUT) , team leader
Novotný Ondřej, Ing. (UPGM FIT VUT) , team leader
Publications

2019

2018

2017

Back to top