Title | ||
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Speaker verification using target and background dependent linear transforms and multi-system fusion |
Abstract | ||
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This paper describes a GMM-based speaker verification system that uses speaker-dependent background models transformed by speaker-specific maximum likelihood linear transforms to achieve a sharper separation between the target and the non- target acoustic region. The effect of tying, or coupling, Gaus- sian components between the target and the background model is studied and shown to be a relevant factor with respect to the desired operating point. A fusion of scores from multiple sys- tems built on different acoustic features via a neural network with performance gains over linear combination is also pre- sented. The methods are experimentally studied on the 1999 NIST speaker recognition evaluation data. |
Year | Venue | Keywords |
---|---|---|
2001 | INTERSPEECH | linear transformation,neural network |
Field | DocType | Citations |
Speaker verification,Pattern recognition,Computer science,Fusion,Speech recognition,Speaker recognition,Natural language processing,Artificial intelligence,Speaker diarisation | Conference | 12 |
PageRank | References | Authors |
2.31 | 4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jiri Navratil | 1 | 314 | 31.36 |
Upendra V. Chaudhari | 2 | 297 | 34.63 |
Ganesh N. Ramaswamy | 3 | 213 | 25.72 |