| Paper: | SLP-P20.11 | ||
| Session: | Acoustic Modeling and Adaptation | ||
| Time: | Friday, May 19, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Environmental adaptation | ||
| Title: | DYNAMIC NOISE ADAPTATION | ||
| Authors: | Steven Rennie, Trausti Kristjansson, Peder Olsen, Ramesh Gopinath, IBM, Canada | ||
| 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 \textsc{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. | ||
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