Investigation of Segmentation in i-Vector Based Speaker Diarization of Telephone Speech
| Autor: | Zbyněk Zajíc, Marie Kunešová, Vlasta Radová |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
Speech recognition 020207 software engineering 02 engineering and technology I vector Speaker diarisation 030507 speech-language pathology & audiology 03 medical and health sciences 0202 electrical engineering electronic engineering information engineering Segmentation Overall performance 0305 other medical science Cluster analysis Change detection |
| Zdroj: | Speech and Computer ISBN: 9783319439570 SPECOM |
| Popis: | The goal of this paper is to evaluate the contribution of speaker change detection (SCD) to the performance of a speaker diarization system in the telephone domain. We compare the overall performance of an i-vector based system using both SCD-based segmentation and a naive constant length segmentation with overlapping segments. The diarization system performs K-means clustering of i-vectors which represent the individual segments, followed by a resegmentation step. Experiments were done on the English part of the CallHome corpus. The final results indicate that the use of speaker change detection is beneficial, but the differences between the two segmentation approaches are diminished by the use of resegmentation. |
| Databáze: | OpenAIRE |
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