All Issue

2022 Vol.41, Issue 3 Preview Page

Research Article

31 May 2022. pp. 342-350
Abstract
References
1
M.Narinen, Active noise cancellation of drone propeller noise through waveform approximation and Pitch-shifting, (Ph.D. thesis, Georgia State University, 2020).
2
J. Lim and A. Oppenheim, "All-pole modeling of degraded speech," IEEE Trans. on Acoustics, Speech, and Signal Process. 26, 197-210 (1978). 10.1109/TASSP.1978.1163086
3
Y. Ephraim and D. Malah, "Speech enhancement using minimum mean square error short time spectral amplitude estimator," IEEE Trans. on Acoustics, Speech and Signal Process. 32, 1109-1121 (1984). 10.1109/TASSP.1984.1164453
4
S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. on Acoustics, Speech and Signal Proccess. 27, 113-120 (1979). 10.1109/TASSP.1979.1163209
5
R. Martin, "Spectral subtraction based on minimum statistics," Proc. EUSIPCO, 1182-1185 (1994).
6
P. J. Moreno, B. Raj, and R. M. Stern, "Data-driven environmental compensation for speech recognition: a unified approach," Speech Communication, 24, 267- 285 (1998). 10.1016/S0167-6393(98)00025-9
7
Q. Wang, H. Muckenhirn, K. Wilson, P. Sridhar, Z. Wu, J. Hershey, R. A. Saurous, R. J. Weiss, Y. Jia, and I. L. Moreno, "Voicefilter: Targeted voice separation by speaker-conditioned spectrogram masking," arXiv preprint arXiv:1810.04826 (2018). 10.21437/Interspeech.2019-1101
8
C. Deng, H. Song, Y. Zhang, Y. Sha, and X. Li, "DNN- based mask estimation integrating spectral and spatial features for robust beamforming," Proc. IEEE ICASSP, 4647-4651 (2020). 10.1109/ICASSP40776.2020.9054239
9
N. Saleem, M. I. Khattak, M. Al-Hasan, and A. B. Qazi, "On learning spectral masking for single channel speech enhancement using feedforward and recurrent neural networks," in IEEE Access, 8, 160581-160595 (2020). 10.1109/ACCESS.2020.3021061
10
M. Hasannezhad, Z. Ouyang, W. -P. Zhu, and B. Champagne, "Speech enhancement with phase sensitive mask estimation using a novel hybrid neural network," IEEE Open Journal of Signal Processing, 2, 136-150 (2021). 10.1109/OJSP.2021.3067147
11
M. Hasannezhad, Z. Ouyang, W. -P. Zhu, and B. Champagne, "An integrated CNN-GRU framework for complex ratio mask estimation in speech enhancement," Proc. APSIPA ASC, 764-768 (2020).
12
Y. Koizumi, K. Yatabe, M. Delcroix, Y. Masuyama, and D. Takeuchi, "Speech enhancement using self- adaptation and multi-head self-attention," Proc. IEEE ICASSP, 181-185 (2020). 10.1109/ICASSP40776.2020.9053214
13
X. Hao, C. Shan, Y. Xu, S. Sun, and L. Xie, "An attention-based neural network approach for single channel speech enhancement," Proc. IEEE ICASSP, 6895-6899 (2019). 10.1109/ICASSP.2019.8683169
14
S. K. Roy, A. Nicolson, and K. K. Paliwal, "Deep LPC-MHANet: Multi-head self-attention for augmented kalman filter-based speech enhancement," IEEE Access, 9, 70516-70530 (2021). 10.1109/ACCESS.2021.3077281
15
A. Pandey and D. Wang, "Dense CNN with self- attention for time-domain speech enhancement," IEEE/ ACM Trans Audio Speech Lang Process. 29, 1270- 1279 (2021). 10.1109/TASLP.2021.306442133997107PMC8118093
16
J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, D. S. Pallett, and N. L. Dahlgren, "DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM. NIST speech disc 1-1.1," NASA STI/Recon Tech. Rep. 1993. 10.6028/NIST.IR.4930
17
Syma X5C-1, https://youtube.com/watch?v=aR3NgjO wzAo&featur e=share, (Last viewed August 19, 2021).
18
E. Vincent, R. Gribonval, and C. Fevotte, "Performance measurement in blind audio source separation," IEEE Trans. on audio, speech, and lang. process. 14, 1462- 1469 (2006). 10.1109/TSA.2005.858005
19
A. W. Rix, J. G. Beerends, M. P. Hollier, and A. P. Hekstra, "Perceptual evaluation of speech quality (PESQ)- a new method for speech quality assessment of teleꠓphone networks and codecs," Proc. IEEE ICASSP, 01CH37221 (2001).
20
C. H. Taal, R. C. Hendriks, R, Heusdens, and J. Jensen, "A short-time objective intelligibility measure for time- frequency weighted noisy speech," Proc. IEEE ICASSP, 4214-4217 (2010). 10.1109/ICASSP.2010.5495701
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 : 41
  • No :3
  • Pages :342-350
  • Received Date :2022. 03. 23
  • Revised Date :2022. 05. 10
  • Accepted Date : 2022. 05. 18