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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Otterson, S. Ostendorf, M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Washington, Seattle (Otterson, S.; Ostendorf, M.) |
| Abstract | Speaker overlap in meetings is thought to be a significant contributor to error in speaker diarization, but it is not clear if overlaps are problematic for speaker clustering and/or if errors could be addressed by assigning multiple labels in overlap regions. In this paper, we look at these issues experimentally, assuming perfect detection of overlaps, to assess the relative importance of these problems and the potential impact of overlap detection. With our best features, we find that detecting overlaps could potentially improve diarization accuracy by 15% relative, using a simple strategy of assigning speaker labels in overlap regions according to the labels of the neighboring segments. In addition, the use of cross-correlation features with MFCC's reduces the performance gap due to overlaps, so that there is little gain from removing overlapped regions before clustering. |
| Starting Page | 683 |
| Ending Page | 686 |
| File Size | 154559 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424417452 |
| DOI | 10.1109/ASRU.2007.4430194 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-12-09 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech processing Performance gain Microphones NIST Speech analysis Error analysis Source separation Independent component analysis Testing Performance analysis overlap speaker identification diarization localization |
| Content Type | Text |
| Resource Type | Article |
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