Publication detail

On the Usage of Phonetic Information for Text-independent Speaker Embedding Extraction

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

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"
}