Author:
Sunnydayal V.,Siva Prasad N.,Ravishankar S.,Surendran S.,Ragesh N. K.
Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Reference27 articles.
1. Benaroya, L., Mcdonagh, L., Bimbot, F., & Gribonval, R. (2003). Non negative sparse representation for Wiener based source separation with a single sensor. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003) Vol. 6, pp. VI-613-616.
2. Berry, M. W., Browne, M., Langville, A. N., Pauca, V. P., & Plemmons, R. J. (2007). Algorithms and applications for approximate nonnegative matrix factorization. Computational statistics and data analysis, 52(1), 155–173.
3. Bhargava, S., Blättler, F., Kollmorgen, S., Liu, S. C., & Hahnloser, R. H. (2015). Linear methods for efficient and fast separation of two sources recorded with a single microphone. Neural computation. doi:
10.1162/NECO_a_00776
.
4. Cabras, G., Canazza, S., Montessoro, P. L., & Rinaldo, R. (2010). Restoration of audio documents with low SNR: A NMF parameter estimation and perceptually motivated Bayesian suppression rule. In Proc. Sound and Music Computing Conference, pp. 314–321.
5. Ephraim, Y., & Malah, D. (1984). Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator. IEEE Transactions on Acoustics, Speech, and Signal Processing, 32(6), 1109–1121.
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