Abstract
This paper presents investigations into the performance of open-set, text-independent speaker identification (OSTI-SI) under mismatched data conditions. The scope of the study includes attempts to reduce the adverse effects of such conditions through the introduction of a modified parallel model combination (PMC) method together with condition-adjusted T-Norm (CT-Norm) into the OSTI-SI framework. The experiments are conducted using examples of real world noise. Based on the outcomes, it is demonstrated that the above approach can lead to considerable improvements in the accuracy of open-set speaker identification operating under severely mismatched data conditions. The paper details the realisation of the modified PMC method and CT-Norm in the context of OSTI-SI, presents the experimental investigations and provides an analysis of the results.
| Original language | English |
|---|---|
| Title of host publication | INTERSPEECH 2009 |
| Subtitle of host publication | 10th Annual Conf of the Int Speech Communication Association |
| Place of Publication | BAIXAS |
| Publisher | ISCA-INST SPEECH COMMUNICATION ASSOC |
| Pages | 2303-2306 |
| Number of pages | 4 |
| Volume | 1-5 |
| ISBN (Print) | 978-1-61567-692-7 |
| Publication status | Published - 2009 |
| Event | 10th INTERSPEECH 2009 Conference - Brighton Duration: 6 Sept 2009 → 10 Sept 2009 |
Conference
| Conference | 10th INTERSPEECH 2009 Conference |
|---|---|
| City | Brighton |
| Period | 6/09/09 → 10/09/09 |
Keywords
- VERIFICATION