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We describe our submitted system for the ZeroSpeech Challenge 2019.
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E. Dunbar, X. N. Cao, J. Benjumea, J. Karadayi, M. Bernard, L. Besacier, X. Anguera, and E. Dupoux, “The zero resource speech challenge 2017,” in 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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A. Tjandra, S. Sakti, and S. Nakamura, “Machine speech chain with one-shot speaker adaptation,” Proc. Interspeech 2018
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2018
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M. Heck, S. Sakti, and S. Nakamura, “Feature optimized dpgmm clustering for unsupervised subword modeling: A contribution to zerospeech 2017,” in 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
2017
Cited alongside, same era.
A. Tjandra, S. Sakti, and S. Nakamura, “Listening while speaking: Speech chain by deep learning,” in 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
2017
Cited alongside, same era.
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2017
Cited alongside, same era.
T. Kaneko, H. Kameoka, N. Hojo, Y. Ijima, K. Hiramatsu, and K. Kashino, “Generative adversarial network-based postfilter for statistical parametric speech synthesis,” in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2017
Cited alongside, same era.
M. Arjovsky, S. Chintala, and L. Bottou, “Wasserstein gan,” arXiv preprint arXiv:1701.07875
2017
Cited alongside, same era.
X. Mao, Q. Li, H. Xie, R. Y. Lau, Z. Wang, and S. Paul Smolley, “Least squares generative adversarial networks,” in Proceedings of the IEEE International Conference on Computer Vision
2017
Cited alongside, same era.
B. Wu, S. Sakti, J. Zhang, and S. Nakamura, “Optimizing DPGMM clustering in zero-resource setting based on functional load,” in Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages
Cited in the paper.
B. Sisman, M. Zhang, S. Sakti, H. Li, and S. Nakamura, “Adaptive wavenet vocoder for residual compensation in gan-based voice conversion,” in 2018 IEEE Spoken Language Technology Workshop (SLT)
2018
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F. Fang, J. Yamagishi, I. Echizen, and J. Lorenzo-Trueba, “High-quality nonparallel voice conversion based on cycle-consistent adversarial network,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2018
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2018
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2019
Closest in time.
A. Tjandra, S. Sakti, and S. Nakamura, “End-to-end feedback loss in speech chain framework via straight-through estimator,” in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2019
Closest in time.