Name
Abstract | ||
|---|---|---|
In order to remove TV noise effectively, a novel system, combination of single channel and multi-channel microphone-based noise reduction method, is proposed. A single channel filtering based on normalized least mean square is performed on each channel to reduce TV noise using a reference noise provided by TV speaker output. After that, as a post-processing, generalized sidelobe canceller attenuates more the remaining nonstationary noises in input speeches. For performance evaluation, a HMM-based speaker recognition rate is measured and the recognition rate showed remarkable improvement. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICCE.2012.6161858 | ICCE |
Keywords | Field | DocType |
filtering theory,hidden markov models,least mean squares methods,signal denoising,speaker recognition,hmm-based speaker recognition rate,tv noise removal,tv speaker output,generalized sidelobe canceller,high-performance speech recognition,input speeches,multichannel microphone-based noise reduction method,nonstationary noises,normalized least mean square,performance evaluation,post-processing,reference noise,single channel filtering,noise reduction,speech recognition | Noise reduction,Computer science,Electronic engineering,Speaker recognition,Artificial intelligence,Least mean squares filter,Computer vision,Beamforming,Reference noise,Communication channel,Filter (signal processing),Speech recognition,Microphone | Conference |
ISSN | ISBN | Citations |
2158-3994 | 978-1-4577-0230-3 | 1 |
PageRank | References | Authors |
0.39 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Hong | 1 | 27 | 6.58 |
| sangjun park | 2 | 2 | 2.43 |
| jongjin lim | 3 | 1 | 0.39 |
| buyeol lee | 4 | 1 | 0.39 |
| Minsoo Hahn | 5 | 223 | 46.63 |