Dynamic Noise Adaptation

Author

Rennie, Steven ; Kristjansson, Trausti ; Olsen, Peder ; Gopinath, Ramesh

Author_Institution

IBM Thomas J. Watson Res. Center, Yorktown Heights, NY

Volume

1

fYear

2006

fDate

14-19 May 2006

Abstract

We consider the problem of robust speech recognition in the car environment. We present a new dynamic noise adaptation algorithm, called DNA, for the robust front-end compensation of evolving semi-stationary noise as typically encountered in the car setting. A large dataset of in-car noise was collected for the evaluation of the new algorithm. This dataset was combined with the Aurora II framework to produce a new, publicly available framework, called DNA + AURORA II, for the evaluation of adaptive noise compensation algorithms. We show that DNA consistently outperforms several existing, related state-of-the-art front-end denoising techniques

Keywords

automobiles; noise (working environment); speech processing; speech recognition; adaptive noise compensation algorithms; car environment; denoising techniques; dynamic noise adaptation; front-end compensation; robust speech recognition; semi-stationary noise; Acoustic noise; Background noise; DNA; Heuristic algorithms; Noise level; Noise reduction; Noise robustness; Speech enhancement; Speech recognition; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660241

Filename

1660241