Experiments with Segmentation in an Online Speaker Diarization System
| Autor: | Vlasta Radová, Marie Kunešová, Zbyněk Zajíc |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
media_common.quotation_subject Speech recognition Process (computing) 020207 software engineering Context (language use) 02 engineering and technology Convolutional neural network Speaker diarisation 030507 speech-language pathology & audiology 03 medical and health sciences 0202 electrical engineering electronic engineering information engineering Segmentation Conversation Overall performance 0305 other medical science Set (psychology) media_common |
| Zdroj: | Text, Speech, and Dialogue ISBN: 9783319642055 TSD |
| Popis: | In offline speaker diarization systems, particularly those aimed at telephone speech, the accuracy of the initial segmentation of a conversation is often a secondary concern. Imprecise segment boundaries are typically corrected during resegmentation, which is performed as the final step of the diarization process. However, such resegmentation is generally not possible in online systems, where past decisions are usually unchangeable. In such situations, correct segmentation becomes critical. In this paper, we evaluate several different segmentation approaches in the context of online diarization by comparing the overall performance of an i-vector-based diarization system set to operate in a sequential manner. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|