Project Details
Speech enhancement front-end for robust automatic speech recognition with large amount of training data
Project Period: 1. 1. 2022 – 31. 12. 2022
Project Type: contract
Partner: NTT, Inc.
Czech title
Parametrizace s obohacováním řeči pro robustní automatické rozpoznávání řeči s velkým objemem trénovacích dat
Type
contract
Keywords
speech recognition, robustness, large data, DNN embeddings
Abstract
The purpose of the Joint Research is to develop Speech enhancement front-end for robust automatic speech recognition with large amount of training data through the cooperation of NTT and BUT. The work is relying on embeddings produced by neural networks in various places of the processing chain.
Team members
Černocký Jan, prof. Dr. Ing.
(DCGM)
– research leader
Baskar Murali Karthick, Ing., Ph.D.
Kocour Martin, Ing. (DCGM)
Pavlus Ján, Ing. (DCGM)
Szőke Igor, Ing., Ph.D. (DCGM)
Švec Ján, Ing. (DCGM)
Veselý Karel, Ing., Ph.D. (DCGM)
Žmolíková Kateřina, Ing., Ph.D. (FIT)
Baskar Murali Karthick, Ing., Ph.D.
Kocour Martin, Ing. (DCGM)
Pavlus Ján, Ing. (DCGM)
Szőke Igor, Ing., Ph.D. (DCGM)
Švec Ján, Ing. (DCGM)
Veselý Karel, Ing., Ph.D. (DCGM)
Žmolíková Kateřina, Ing., Ph.D. (FIT)