All Issue

2020 Vol.39, Issue 5 Preview Page

Research Article

30 September 2020. pp. 468-475
Abstract
References
1
Y. Zhang and J. R. Glass "Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams," Proc. ASRU. 398-403 (2009).
10.1109/ASRU.2009.5372931
2
G. Mantena and K. Prahallad, "Use of articulatory bottle-neck features for query-by-example spoken term detection in low resource scenarios," Proc. ICASSP. 7128-7132 (2014).
10.1109/ICASSP.2014.6854983
3
H. Lim, Y. Kim, Y. Kim, and H. Kim, "CNN-based bottleneck feature for noise robust query-by-example spoken term detection," Proc. APSIPA. 1278-1281 (2017).
10.1109/APSIPA.2017.8282220PMC5698221
4
G. Chen, C. Parada, and T. N. Sainath, "Query-by- example keyword spotting using long short-term memory networks," Proc. ICASSP. 5236-5240 (2015).
10.1109/ICASSP.2015.717897026496023
5
S. Settle and K. Livescu, "Discriminative acoustic word embeddings: Recurrent neural network-based approaches," Proc. SLT. 503-510 (2016).
10.1109/SLT.2016.7846310
6
M. Jung, H. Lim, J. Goo, Y. Jung, and H. Kim, "Additional shared decoder on Siamese multi-view encoders for learning acoustic word embeddings," Proc. ASRU. 629-636 (2019).
10.1109/ASRU46091.2019.9003929
7
H. Lim, Y. Kim, J. Goo, and H. Kim, "Interlayer selective attention network for robust personalized wake-up word detection," IEEE Signal Process. Lett. 27, 126-130 (2020).
10.1109/LSP.2019.2959902
8
Y. Ganin, H. Ajakan, H. Larochelle, F. Laviolette, and V. Lempitsky, "Domain-adversarial training of neural networks," J. Mach. Learn. Res. 17, 2096-2030 (2016).
9
E. Tzeng, J. Hoffman, K. Saenko, and T. Darrell, "Adversarial discriminative domain adaptation," Proc. CVPR. 7167-7176 (2017).
10.1109/CVPR.2017.316
10
Z. Pei, Z. Cao, M. Long, and J. Wang, "Multi-adversarial domain adaptation," Proc. AAAI. 3934-3941 (2018).
11
R. Wang, M. Utiyama, A. Finch, L. Liu, K. Chen, and E. Sumita, "Sentence selection and weighting for neural machine translation domain adaptation," IEEE/ ACM Trans. Audio, Speech, Lang. Process. 26, 1727- 1741 (2018).
10.1109/TASLP.2018.2837223
12
A. Tripathi, A. Mohan, S. Anand, and M. Singh, "Adversarial learning of raw speech features for domain invariant speech recognition," Proc. ICASSP. 5959-5963 (2018).
10.1109/ICASSP.2018.8462452
13
S. Sun, C. F. Yeh, M. Y. Hwang, M. Ostendorf, and L. Xie, "Domain adversarial training for accented speech recognition," Proc. ICASSP. 4854-4858 (2018).
10.1109/ICASSP.2018.8462663PMC6242895
14
S. Mirsamadi and J. H. Hansen, "Multi-domain adversarial training of neural network acoustic models for distant speech recognition," Speech Commun. 106, 21-30 (2019).
10.1016/j.specom.2018.10.010
15
Y. Ganin and V. Lempitsky, "Unsupervised domain adaptation by backpropagation," Proc. ICML. 1180- 1189 (2015).
16
D. B. Paul and J. M. Baker, "The design for the Wall Street Journal-based CSR corpus," Proc. Workshop Speech and Natural Lang. 357-362 (1992).
10.3115/1075527.1075614
17
D. Dean, S. Sridharan, R. Vogt, and M. Mason, "The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms," Proc. Interspeech, 3110- 3113 (2010).
18
H. G. Hirsch and D. Pearce, "The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions," Proc. ISCA ITRW ASR. 181-188 (2000).
19
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Lenvnberg, R. Monga, S. Moore, D. G. Murray, B. Steiner, P. Tucker, V. Vasudevan, P. Warden, M. Wiche, Y. Yu, and X. Zheng, "Tensor Flow: Large-scale machine learning on heterogeneous systems," Proc. USENIX OSDI. 265-283 (2016).
20
D. Kingma and J. Ba, "Adam: A method for stochastic optimization," Proc. ICLR. 1-15 (2015).
21
K. Hajian-Tilaki, "Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation," Caspian J. Intern. Med. 4, 627-635 (2013).
Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 39
  • No :5
  • Pages :468-475
  • Received Date : 2020-07-17
  • Revised Date : 2020-08-28
  • Accepted Date : 2020-08-29