Name
Abstract | ||
|---|---|---|
In this paper we investigate an Adaptive Line Enhancer (ALE) for the cancellation of robot self-noise. In contrast to many other methods, it requires only a single microphone and can be combined with any other single- and multi-channel noise reduction method. The proposed ALE is implemented in the frequency domain (FDALE) and performs noise cancellation with respect to magnitude and phase. It therefore has the potential to reduce noise components without introducing distortions of the target signal. We combine the ALE with a traditional single-channel noise reduction filter, where the former cancels predictable noise components and the latter suppresses the random noise components. We apply this approach to an automatic speech recognition task and show that significant improvements can be obtained. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IWAENC.2016.7602938 | 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC) |
Keywords | Field | DocType |
adaptive line enhancer,noise cancellation,noise suppression,step-size control,automatic speech recognition | Frequency domain,Noise reduction,Noise measurement,Computer science,Communication channel,Speech recognition,Active noise control,Acoustics,Robot,Self noise,Microphone | Conference |
ISBN | Citations | PageRank |
978-1-5090-2008-9 | 0 | 0.34 |
References | Authors | |
15 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jalal Taghia | 1 | 51 | 5.36 |
| Dorothea Kolossa | 2 | 154 | 31.12 |
| Rainer Martin | 3 | 1029 | 91.14 |