Ultrasound-coupled semi-supervised nonnegative matrix factorisation for speech enhancement
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: 2014DOI: 10.1109/WARTIA.2014.6976451
Keyword(s): Gaussian distribution,Gaussian processes,inverse problems,radar clutter,radar detection,radar signal processing,random processes,vectors,CFAR detection,IG-CG model,SIRP,chi-square testing,inverse Gaussian compound Gaussian distribution model,power spectral density aspect,radar clutter method,radar signal processing,random vector generation,sea clutter simulation,spherically invariant random process,statistical property,Analytical models,Clutter,Compounds,Data models,Gauss
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Ultrasound-coupled semi-supervised nonnegative matrix factorisation for speech enhancement
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| contributor author | Barker, T. , Virtanen, T. , Delhomme, O. | |
| date accessioned | 2020-03-12T20:08:47Z | |
| date available | 2020-03-12T20:08:47Z | |
| date issued | 2014 | |
| identifier other | 6853975.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1003606?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Ultrasound-coupled semi-supervised nonnegative matrix factorisation for speech enhancement | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8124848 | |
| subject keywords | Gaussian distribution | |
| subject keywords | Gaussian processes | |
| subject keywords | inverse problems | |
| subject keywords | radar clutter | |
| subject keywords | radar detection | |
| subject keywords | radar signal processing | |
| subject keywords | random processes | |
| subject keywords | vectors | |
| subject keywords | CFAR detection | |
| subject keywords | IG-CG model | |
| subject keywords | SIRP | |
| subject keywords | chi-square testing | |
| subject keywords | inverse Gaussian compound Gaussian distribution model | |
| subject keywords | power spectral density aspect | |
| subject keywords | radar clutter method | |
| subject keywords | radar signal processing | |
| subject keywords | random vector generation | |
| subject keywords | sea clutter simulation | |
| subject keywords | spherically invariant random process | |
| subject keywords | statistical property | |
| subject keywords | Analytical models | |
| subject keywords | Clutter | |
| subject keywords | Compounds | |
| subject keywords | Data models | |
| subject keywords | Gauss | |
| identifier doi | 10.1109/WARTIA.2014.6976451 | |
| journal title | coustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on | |
| filesize | 469651 | |
| citations | 0 |