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STAFYLAKIS, T. MOŠNER, L. PLCHOT, O. ROHDIN, J. SILNOVA, A. BURGET, L. ČERNOCKÝ, J.
Original Title
Training Speaker Embedding Extractors Using Multi-Speaker Audio with Unknown Speaker Boundaries
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Speaker Embedding Extractors, Multi-Speaker Audio, Unknown Speaker Boundaries
Authors
STAFYLAKIS, T.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; BURGET, L.; ČERNOCKÝ, J.
Released
18. 9. 2022
Publisher
International Speech Communication Association
Location
Incheon
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Year of study
2022
Number
9
State
French Republic
Pages from
605
Pages to
609
Pages count
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" }