Noise reduction in speech signals using adaptive independent component analysis (ICA) for hands free communication devices (original) (raw)
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References
- Arons, B. (2008). A review of the cocktail party effect. Cambridge, MA: MIT Media Lab.
Google Scholar - Haykin, S. (1996). Adaptive filter theory, 3rd edn. New Jersey: Prentice Hall.
MATH Google Scholar - Proakis, J. G. (2012). Adaptive signal processing, 3rd edn. New Delhi: Perntice Hall of India.
Google Scholar - Bregman, A. S. (2008). Auditory scene analysis. Montreal, QC: Department of Psychology, McGill University.
Book Google Scholar - Benesty, J., & Chen, J. (2011). Optimal time-domain noise reduction filter. A theoretical study, VII, 79 p. 1. New York: Springer. ISBN:978-3-642-19600-3.
Book MATH Google Scholar - Chen, J., Benesty, J., & Huang, Y. (2008). A minimum distortion noise reduction algorithm with multiple microphones. _IEEE Transactions on Audio, Speech, and Language Process_ing, 16(3), 481–493.
Article Google Scholar - Chen, J., Benesty, J., Huang, Y., & Gaensler, T. (2011). On single-channel noise reduction in the time domain. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague (pp. 277–280).
- Ephraim, Y., & Van Trees, H. L. (1995). A signal subspace approach for speech enhancement. IEEE Transactions on Speech and Audio Processing, 3(4), 251–266.
Article Google Scholar - Hu, G., & Wang, D. (2002). Monaural speech segregation based on pitch tracking and amplitude modulation. IEEE Transactions on Neural Networks, 15(5), 1135–1150.
Google Scholar - Huang, Y., Benesty, J., & Chen, J. (2008). Analysis and comparison of multichannel noise reduction methods in a common framework. IEEE Transactions on Audio, Speech, and Language Processing, 16(5), 957–968.
Article Google Scholar - Hyvarinen, A., & Oja, E. (1997). A fast fixed-point algorithm for independent component analysis. Neural Computation, 9(7), 1483–1492.
Article Google Scholar - Chen, J., Benesty, J., Huang, Y., & Doclo, S. (2006). New insights into the noise reduction Wiener filter. IEEE Transactions on Audio, Speech, and Language Processing, 14(4), 1218–1234.
Article Google Scholar - Lezzoum, N., Gagnon, G., & Voix, J. (2016). Noise reduction of speech signals using time-varying and multi-band adaptive gain control for smart digital hearing protectors. Applied Acoustics. https://doi.org/10.1016/j.apacoust.2016.03.001.
Google Scholar - Li, H., Wang, H., & Xia, B. (2006). Blind separation of noisy mixed speech signals based on wavelet transform and independent component analysis. In 8th International Conference on Signal Processing (ICSP 2006), (pp. 1–4). Beijing.
- Mohanaprasad, K., & Arulmozhivarman, P. (2015). Wavelet based ICA using maximization of non-gaussianity for acoustic echo cancellation during double talk situation. Applied Acoustics (Elsevier), 97, 37–45.
Article Google Scholar - Mohanaprasad, K., & Arulmozhivarman, P., & Wavelet-Based, I. C. A. (2015). Using maximum likelihood estimation and information-theoretic measure for acoustic echo cancellation during double talk situation. Circuits Systems and Signal Processing (Springer), 34(12), 3915–3931.
Article Google Scholar - Pearson, K. (1901). On lines and planes of closest fit to systems of points in space (PDF). Philosophical Magazine, 2(11), 559–572.
MATH Google Scholar - Schroeder, M. R. (1960). Apparatus for suppressing noise and distortion in communication signals. US Patent No. 3,180,936.
- Schroeder, M. R. (1965). Processing of communication signals to reduce effects of noise. US Patent No. 3,403,224.
- Soumya, R. G., Naveen, N., & Lal, M. J. (2013). Application of adaptive filter using adaptive line enhancer techniques. Third International Conference on Advances in Computing and Communications, Cochin (pp. 165–168).
- Wang, D. L., & Brown, G. J. (1999). Separation of speech from interfering sounds based on oscillatory correlation. IEEE Transactions on Neural Network, 10, 684–697.
Article Google Scholar