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WANG, S. ROHDIN, J. BURGET, L. PLCHOT, O. QIAN, Y. YU, K. ČERNOCKÝ, J.
Originální název
On the Usage of Phonetic Information for Text-independent Speaker Embedding Extraction
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
phonetic information, text-independent speaker verification, adversarial training
Autoři
WANG, S.; ROHDIN, J.; BURGET, L.; PLCHOT, O.; QIAN, Y.; YU, K.; ČERNOCKÝ, J.
Vydáno
15. 9. 2019
Nakladatel
International Speech Communication Association
Místo
Graz
ISSN
1990-9772
Periodikum
Proceedings of Interspeech
Ročník
2019
Číslo
9
Stát
Francouzská republika
Strany od
1148
Strany do
1152
Strany počet
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" }