Name
Abstract | ||
|---|---|---|
In this paper we present a method for combining multiple diarization systems into one single system by applying a majority voting scheme. The voting scheme selects the best segmentation purely on basis of the output of each system. On our development set of NIST Rich Transcription evaluation meetings the voting method improves our system on all evaluation conditions. For the single distant microphone condition, DER performance improved by 7.8% (relative) compared to the best input system. For the multiple distant microphone condition the improvement is 3.6%. |
Year | Venue | Keywords |
|---|---|---|
2009 | INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | Speaker diarization |
Field | DocType | Citations |
Voting,Pattern recognition,Speech communication,Computer science,Segmentation,Speech recognition,NIST,Speaker diarisation,Artificial intelligence,Majority rule,Microphone | Conference | 1 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marijn Huijbregts | 1 | 164 | 14.92 |
| David van Leeuwen | 2 | 44 | 7.06 |
| Franciska de Jong | 3 | 924 | 84.89 |