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PENG, J. QU, X. WANG, J. GU, R. XIAO, J. BURGET, L. ČERNOCKÝ, J.
Original Title
ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform
Type
conference paper
Language
English
Original Abstract
Recently, extracting speaker embedding directly from raw waveform has drawn increasing attention in the field of speaker verification. Parametric real-valued filters in the first convolutional layer are learned to transform the waveform into time-frequency representations. However, these methods only focus on the magnitude spectrum and the poor interpretability of the learned filters limits the performance. In this paper, we propose a complex speaker embedding extractor, named ICSpk, with higher interpretability and fewer parameters. Specifically, at first, to quantify the speaker-related frequency response of waveform, we modify the original short-term Fourier transform filters into a family of complex exponential filters, named interpretable complex (IC) filters. Each IC filter is confined by a complex exponential filter parameterized by frequency. Then, a deep complex-valued speaker embedding extractor is designed to operate on the complex-valued output of IC filters. The proposed ICSpk is evaluated onVoxCeleb andCNCeleb databases. Experimental results demonstrate the IC filters-based system exhibits a significant improvement over the complex spectrogram based systems. Furthermore, the proposed ICSpk outperforms existing raw waveform based systems by a large margin.
Keywords
end-to-end speaker verification, raw waveform, complex neural networks, interpretable complex filters
Authors
PENG, J.; QU, X.; WANG, J.; GU, R.; XIAO, J.; BURGET, L.; ČERNOCKÝ, J.
Released
30. 8. 2021
Publisher
International Speech Communication Association
Location
Brno
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Year of study
2021
Number
8
State
French Republic
Pages from
511
Pages to
515
Pages count
5
URL
https://www.isca-speech.org/archive/interspeech_2021/peng21_interspeech.html
BibTex
@inproceedings{BUT175835, author="PENG, J. and QU, X. and WANG, J. and GU, R. and XIAO, J. and BURGET, L. and ČERNOCKÝ, J.", title="ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform", booktitle="Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH", year="2021", journal="Proceedings of Interspeech", volume="2021", number="8", pages="511--515", publisher="International Speech Communication Association", address="Brno", doi="10.21437/Interspeech.2021-2016", issn="1990-9772", url="https://www.isca-speech.org/archive/interspeech_2021/peng21_interspeech.html" }