Publication Details

Investigation of Specaugment for Deep Speaker Embedding Learning

WANG Shuai, ROHDIN Johan A., PLCHOT Oldřich, BURGET Lukáš, YU Kai and ČERNOCKÝ Jan. Investigation of Specaugment for Deep Speaker Embedding Learning. In: Proceedings of ICASSP 2020. Barcelona: IEEE Signal Processing Society, 2020, pp. 7139-7143. ISBN 978-1-5090-6631-5. Available from: https://ieeexplore.ieee.org/document/9053481/authors#authors
Czech title
Výzkum metody Specaugment pro hluboké učení embeddingů mluvčích
Type
conference paper
Language
english
Authors
Wang Shuai (DCGM FIT BUT)
Rohdin Johan A., Dr. (DCGM FIT BUT)
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Yu Kai (SJTU)
Černocký Jan, doc. Dr. Ing. (DCGM FIT BUT)
URL
Keywords

speaker embedding, on-the-fly data augmentation, speaker verification, specaugment

Abstract

SpecAugment is a newly proposed data augmentation method for speech recognition. By randomly masking bands in the log Mel spectogram this method leads to impressive performance improvements. In this paper, we investigate the usage of SpecAugment for speaker verification tasks. Two different models, namely 1-D convolutional TDNN and 2-D convolutional ResNet34, trained with either Softmax or AAM-Softmax loss, are used to analyze SpecAugments effectiveness. Experiments are carried out on the Voxceleb and NIST SRE 2016 dataset. By applying SpecAugment to the original clean data in an on-the-fly manner without complex off-line data augmentation methods, we obtained 3.72% and 11.49% EER for NIST SRE 2016 Cantonese and Tagalog, respectively. For Voxceleb1 evaluation set, we obtained 1.47% EER.

Published
2020
Pages
7139-7143
Proceedings
Proceedings of ICASSP 2020
Conference
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Barcelona, ES
ISBN
978-1-5090-6631-5
Publisher
IEEE Signal Processing Society
Place
Barcelona, ES
DOI
BibTeX
@INPROCEEDINGS{FITPUB12278,
   author = "Shuai Wang and A. Johan Rohdin and Old\v{r}ich Plchot and Luk\'{a}\v{s} Burget and Kai Yu and Jan \v{C}ernock\'{y}",
   title = "Investigation of Specaugment for Deep Speaker Embedding Learning",
   pages = "7139--7143",
   booktitle = "Proceedings of ICASSP 2020",
   year = 2020,
   location = "Barcelona, ES",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-5090-6631-5",
   doi = "10.1109/ICASSP40776.2020.9053481",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12278"
}
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