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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 become the state-of-the-art utterance representation in speaker recognition systems. It has recently been shown that incorporating frame-level phonetic information in the embedding extractor can improve the speaker recognition performance. On the other hand, in the final embedding, phonetic information is just an additional source of session variability which may be harmful to the text-independent speaker recognition task. This suggests that at the embedding level phonetic information should be suppressed rather than encouraged. To verify this hypothesis, we perform several experiments that encourage or/and suppress phonetic information at various stages in the network. Our experiments confirm that multitask learning is beneficial if it is applied at the frame-level stage of the network, whereas adversarial training is beneficial if it is used at the segment-level stage of the network. Additionally, the combination of these two approaches improves the performance further, resulting in an equal error rate of 3.17% on the VoxCeleb dataset.
Keywords
phonetic information, text-independent speaker verification, 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" }