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Deep Convex Representations: Feature Representations for Bioacoustics Classification.

A. Thakur, V. Abrol, P. Sharma, and P. Rajan. INTERSPEECH, page 2127-2131. ISCA, (2018)

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Deep Convex Representations: Feature Representations for Bioacoustics Classification.A. Thakur, V. Abrol, P. Sharma, and P. Rajan. INTERSPEECH, page 2127-2131. ISCA, (2018)ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM.P. Sharma, V. Abrol, and A. Thakur. INTERSPEECH, page 3299-3303. ISCA, (2018)Compressed Convex Spectral Embedding for Bird Species Classification.A. Thakur, V. Abrol, P. Sharma, and P. Rajan. ICASSP, page 261-265. IEEE, (2018)A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.A. Singh, A. Thakur, P. Rajan, and A. Bhavsar. EUSIPCO, page 837-841. IEEE, (2018)CONV-codes: Audio Hashing for Bird Species Classification.A. Thakur, P. Sharma, V. Abrol, and P. Rajan. ICASSP, page 8241-8245. IEEE, (2019)Automatic articulation error detection tool for Punjabi language with aid for hearing impaired people.S. Singh, A. Thakur, and D. Vir. I. J. Speech Technology, 18 (2): 143-156 (2015)All-Conv Net for Bird Activity Detection: Significance of Learned Pooling.A. Pankajakshan, A. Thakur, D. Thapar, P. Rajan, and A. Nigam. INTERSPEECH, page 2122-2126. ISCA, (2018)Interference-Aware Co-Channel Transmission Over DTV Bands via Partial Frequency and Time Overlaps.A. Thakur, S. De, and G. Muntean. ICC, page 1-6. IEEE, (2019)Rapid bird activity detection using probabilistic sequence kernels.A. Thakur, R. Jyothi, P. Rajan, and A. Dileep. EUSIPCO, page 1754-1758. IEEE, (2017)Deep Archetypal Analysis Based Intermediate Matching Kernel for Bioacoustic Classification.A. Thakur, and P. Rajan. J. Sel. Topics Signal Processing, 13 (2): 298-309 (2019)

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Deep Convex Representations: Feature Representations for Bioacoustics Classification.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Convex Representations: Feature Representations for Bioacoustics Classification.

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Deep Convex Representations: Feature Representations for Bioacoustics Classification.