A Fast Convolutional Self-attention Based Speech Dereverberation Method for Robust Speech Recognition
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-36718-3_25
Reference28 articles.
1. Xu, Y., Du, J., Dai, L.R., Lee, C.: An experimental study on speech enhancement based on deep neural networks. IEEE Signal Process. Lett. 21, 65–68 (2013)
2. Han, K., Wang, Y., Wang, D.: Learning spectral mapping for speech dereverberation. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4628–4632 (2014)
3. Oo, Z., Wang, L., Phapatanaburi, K., Nakagawa, S., Iwahashi, M., Dang, J.: Phase and reverberation aware DNN for distant-talking speech enhancement. Multimed. Tools Appl. 77(14), 18865–18880 (2018)
4. Park, S.R., Lee, J.: A fully convolutional neural network for speech enhancement. In: Interspeech 2017, pp. 1993–1997 (2017)
5. Fu, S.W., Tsao, Y., Lu, X., Kawai, H.: Raw waveform-based speech enhancement by fully convolutional networks. In: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 006–012 (2017)
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