J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, "An overview of noise-robust automatic speech recognition," IEEE/ACM Trans. Audio, Speech, Language Process, 22, 745-777 (2014).10.1109/TASLP.2014.2304637
Z. Zhang, J. Geiger, A. Mousa, J. Pohjalainena, W. Jin, and B. Schuller, "Deep learning for environmentally robust speech recognition: an overview of recent developments," ACM Trans. Intell. Syst. Tech. 9, 1-12 (2018).10.1145/3178115
M. L. Seltzer, D. Yu, and Y. Wang, " An investigation of deep neural networks for noise robust speech recognition," Proc. IEEE Int. Conf. Acoust. Speech, Signal Process, 7398-7402 (2013).10.1109/ICASSP.2013.6639100
B. K. Choi, S. M. Ban, and H. S. Kim, "Cepstral feature normalization methods using pole filtering and scale normalization for robust speech recognition" (in Korean), J. Acoust. Soc. Kr. 34, 316-320 (2015).10.7776/ASK.2015.34.4.316
B. K. Choi, S. M. Ban, and H. S. Kim, "Selective pole filtering based feature normalization for performance improvement of short utterance recognition in noisy environments" (in Korean), Phonetics and Speech Sciences, 9, 103-110 (2017).
D. Naik, "Pole-filtered cepstral mean subtraction," Proc. IEEE Int. Conf. Acoust. Speech, Signal Process, 157-160 (1995).
H. G. Hirsch and D. Pearce, "The AURORA experimental framework for the performance evaluations of speech recognition systems under noisy conditions," Proc. ISCA ITRW ASR2000, 181-188 (2000).
Kaldi Speech Recognition Toolkit, https://kaldi-asr. org/, (Last viewed January 06, 2020).
- 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 :1
- Pages :64-68
- Received Date :2019. 12. 02
- Accepted Date : 2019. 12. 26