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WANG, S. ROHDIN, J. BURGET, L. PLCHOT, O. QIAN, Y. YU, K. ČERNOCKÝ, J.
Original Title
On the Usage of Phonetic Information for Text-independent Speaker Embedding Extraction
Type
conference paper
Language
English
Original Abstract
Embeddings extracted by deep neural networks have becomethe state-of-the-art utterance representation in speakerrecognition systems. It has recently been shown that incorporatingframe-level phonetic information in the embedding extractorcan improve the speaker recognition performance. On theother hand, in the final embedding, phonetic information is justan additional source of session variability which may be harmfulto the text-independent speaker recognition task. This suggeststhat at the embedding level phonetic information shouldbe suppressed rather than encouraged. To verify this hypothesis,we perform several experiments that encourage or/and suppressphonetic information at various stages in the network. Ourexperiments confirm that multitask learning is beneficial if itis applied at the frame-level stage of the network, whereas adversarialtraining is beneficial if it is used at the segment-levelstage of the network. Additionally, the combination of thesetwo approaches improves the performance further, resulting inan equal error rate of 3.17% on the VoxCeleb dataset.
Keywords
phonetic information, text-independent speakerverification, adversarial training
Authors
WANG, S.; ROHDIN, J.; BURGET, L.; PLCHOT, O.; QIAN, Y.; YU, K.; ČERNOCKÝ, J.
Released
15. 9. 2019
Publisher
International Speech Communication Association
Location
Graz
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Year of study
2019
Number
9
State
French Republic
Pages from
1148
Pages to
1152
Pages count
5
URL
https://www.isca-speech.org/archive/Interspeech_2019/pdfs/3036.pdf
BibTex
@inproceedings{BUT159994, author="WANG, S. and ROHDIN, J. and BURGET, L. and PLCHOT, O. and QIAN, Y. and YU, K. and ČERNOCKÝ, J.", title="On the Usage of Phonetic Information for Text-independent Speaker Embedding Extraction", booktitle="Proceedings of Interspeech", year="2019", journal="Proceedings of Interspeech", volume="2019", number="9", pages="1148--1152", publisher="International Speech Communication Association", address="Graz", doi="10.21437/Interspeech.2019-3036", issn="1990-9772", url="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/3036.pdf" }
Documents
wang_is2019_193036.pdf