Project Details
Speech enhancement front-end for robust automatic speech recognition with large amount of training data
Project Period: 2. 1. 2023 - 31. 1. 2024
Project Type: contract
Partner: NTT Corporation
Czech title
Parametrizace s obohacováním řeči pro robustní automatické rozpoznávání řeči s velkým objemem trénovacích dat
Type
contract
Keywords
speech recognition, speaker diarization, large data, robustness
Abstract
The joint research will aim at investigating and developing speech enhancement and speaker diarization techniques for automatic speech recognition systems that are trained using a large amount of training data.
Team members
Diez Sánchez Mireia, M.Sc., Ph.D.
(UPGM FIT VUT)
, research leader
Černocký Jan, prof. Dr. Ing. (UPGM FIT VUT) , team leader
Pavlus Ján, Ing. (UPGM FIT VUT)
Peng Junyi, Msc. Eng. (UPGM FIT VUT)
Švec Ján, Ing. (UPGM FIT VUT)
Černocký Jan, prof. Dr. Ing. (UPGM FIT VUT) , team leader
Pavlus Ján, Ing. (UPGM FIT VUT)
Peng Junyi, Msc. Eng. (UPGM FIT VUT)
Švec Ján, Ing. (UPGM FIT VUT)