Project Details

NTT - Speech enhancement front-end for robust automatic speech recognition with large amount of training data

Project Period: 1. 1. 2021 - 31. 12. 2021

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, 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

Žmolíková Kateřina, Ing., Ph.D. (UPGM FIT VUT) , research leader
Černocký Jan, prof. Dr. Ing. (UPGM FIT VUT) , team leader
Kocour Martin, Ing. (UPGM FIT VUT)
Švec Ján, Ing. (UPGM FIT VUT)

Publications

2021

DELCROIX Marc, ŽMOLÍKOVÁ Kateřina, OCHIAI Tsubasa, KINOSHITA Keisuke and NAKATANI Tomohiro. Speaker activity driven neural speech extraction. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Toronto: IEEE Signal Processing Society, 2021, pp. 6099-6103. ISBN 978-1-7281-7605-5. Detail