Name
Abstract | ||
|---|---|---|
The time delay of arrival (TDOA) between multiple microphones has been used since 2006 as a source of information (localization) to complement the spectral features for speaker diarization. In this paper, we propose a new localization feature, the intensity channel contribution (ICC) based on the relative energy of the signal arriving at each channel compared to the sum of the energy of all the channels. We have demonstrated that by joining the ICC features and the TDOA features, the robustness of the localization features is improved and that the diarization error rate (DER) of the complete system (using localization and spectral features) has been reduced. By using this new localization feature, we have been able to achieve a 5.2% DER relative improvement in our development data, a 3.6% DER relative improvement in the RT07 evaluation data and a 7.9% DER relative improvement in the last year's RT09 evaluation data. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TASL.2010.2062507 | IEEE Transactions on Audio, Speech & Language Processing |
Keywords | Field | DocType |
speech,error rate,tdoa,feature extraction,mel frequency cepstral coefficient,speaker diarization,speaker recognition,speech processing,density estimation | Time delay of arrival,Diarization error rate,Communication channel,Robustness (computer science),Speech recognition,Speaker diarisation,Multilateration,Engineering | Journal |
Volume | Issue | ISSN |
19 | 4 | 1558-7916 |
Citations | PageRank | References |
8 | 0.58 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Barra-Chicote | 1 | 129 | 17.35 |
| J. M. Pardo | 2 | 8 | 0.58 |
| J. FERREIROS | 3 | 112 | 14.84 |
| Juan Manuel Montero | 4 | 218 | 31.51 |