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Low-complexity sinusoidal component selection using loudness patterns.

H. Krishnamoorthi, V. Berisha, A. Spanias, and H. Kwon. ICASSP, page 301-304. IEEE, (2009)

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Gradient projection-based channel equalization under sustained fading.V. Atti, A. Spanias, K. Tsakalis, C. Panayiotou, L. Iasemidis, and V. Berisha. Signal Processing, 88 (2): 236-246 (2008)Removing data with noisy responses in regression analysis.A. Wisler, V. Berisha, K. Ramamurthy, A. Spanias, and J. Liss. ICASSP, page 2066-2070. IEEE, (2015)Low-complexity sinusoidal component selection using loudness patterns.H. Krishnamoorthi, V. Berisha, A. Spanias, and H. Kwon. ICASSP, page 301-304. IEEE, (2009)Guest Editorial: Algorithms and Architectures for Machine Learning Based Speech Processing.T. Ogunfunmi, R. Ramachandran, R. Togneri, B. Smolenski, and V. Berisha. CSSP, 38 (8): 3399-3405 (2019)Empirical non-parametric estimation of the Fisher Information.V. Berisha, and A. III. CoRR, (2014)Convex Weighting Criteria for Speaking Rate Estimation.Y. Jiao, V. Berisha, M. Tu, and J. Liss. IEEE/ACM Trans. Audio, Speech & Language Processing, 23 (9): 1421-1430 (2015)Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure.V. Berisha, A. Wisler, A. III, and A. Spanias. IEEE Trans. Signal Processing, 64 (3): 580-591 (2016)A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment.M. Willi, S. Borrie, T. Barrett, M. Tu, and V. Berisha. INTERSPEECH, page 581-585. ISCA, (2018)Investigating the Effects of Word Substitution Errors on Sentence Embeddings.R. Voleti, J. Liss, and V. Berisha. ICASSP, page 7315-7319. IEEE, (2019)Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks.G. Srivastava, D. Kadetotad, S. Yin, V. Berisha, C. Chakrabarti, and J. sun Seo. ICASSP, page 1393-1397. IEEE, (2019)

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Low-complexity sinusoidal component selection using loudness patterns.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Low-complexity sinusoidal component selection using loudness patterns.

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Low-complexity sinusoidal component selection using loudness patterns.