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STAFYLAKIS, T. MOŠNER, L. PLCHOT, O. ROHDIN, J. SILNOVA, A. BURGET, L. ČERNOCKÝ, J.
Originální název
Training Speaker Embedding Extractors Using Multi-Speaker Audio with Unknown Speaker Boundaries
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In this paper, we demonstrate a method for training speaker em- bedding extractors using weak annotation. More specifically, we are using the full VoxCeleb recordings and the name of the celebrities appearing on each video without knowledge of the time intervals the celebrities appear in the video. We show that by combining a baseline speaker diarization algorithm that re- quires no training or parameter tuning, a modified loss with aggregation over segments, and a two-stage training approach, we are able to train a competitive ResNet-based embedding extractor. Finally, we experiment with two different aggregation functions and analyze their behaviour in terms of their gradients.
Klíčová slova
Speaker Embedding Extractors, Multi-Speaker Audio, Unknown Speaker Boundaries
Autoři
STAFYLAKIS, T.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; BURGET, L.; ČERNOCKÝ, J.
Vydáno
18. 9. 2022
Nakladatel
International Speech Communication Association
Místo
Incheon
ISSN
1990-9772
Periodikum
Proceedings of Interspeech
Ročník
2022
Číslo
9
Stát
Francouzská republika
Strany od
605
Strany do
609
Strany počet
5
URL
https://www.isca-speech.org/archive/pdfs/interspeech_2022/stafylakis22_interspeech.pdf
BibTex
@inproceedings{BUT179781, author="Themos {Stafylakis} and Ladislav {Mošner} and Oldřich {Plchot} and Johan Andréas {Rohdin} and Anna {Silnova} and Lukáš {Burget} and Jan {Černocký}", title="Training Speaker Embedding Extractors Using Multi-Speaker Audio with Unknown Speaker Boundaries", booktitle="Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH", year="2022", journal="Proceedings of Interspeech", volume="2022", number="9", pages="605--609", publisher="International Speech Communication Association", address="Incheon", doi="10.21437/Interspeech.2022-10165", issn="1990-9772", url="https://www.isca-speech.org/archive/pdfs/interspeech_2022/stafylakis22_interspeech.pdf" }