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A novel feature sub-sampling method for efficient universal background model training in speaker verification.

, , , and . ICASSP, page 4494-4497. IEEE, (2010)

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Anatomy X-Net: A Semi-Supervised Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification., , , and . CoRR, (2021)A Study on Universal Background Model Training in Speaker Verification., and . IEEE Trans. Speech Audio Process., 19 (7): 1890-1899 (2011)Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection., , , and . EMBC, page 1408-1411. IEEE, (2018)A multi-modal highlight extraction scheme for sports videos using an information-theoretic excitability measure., , , and . ICASSP, page 2381-2384. IEEE, (2012)Front-end Channel Compensation using Mixture-dependent Feature Transformations for i-Vector Speaker Recognition., and . INTERSPEECH, page 1091-1094. ISCA, (2012)Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features., , , , and . INTERSPEECH, page 3073-3077. ISCA, (2017)Acoustic factor analysis based universal background model for robust speaker verification in noise., and . INTERSPEECH, page 3127-3131. ISCA, (2013)Automatic regularization of cross-entropy cost for speaker recognition fusion., , , , , , , , , and 2 other author(s). INTERSPEECH, page 1609-1613. ISCA, (2013)Automatic excitement-level detection for sports highlights generation., , , and . INTERSPEECH, page 2202-2205. ISCA, (2010)Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-Rays., , , and . IEEE J. Biomed. Health Informatics, 26 (11): 5518-5528 (2022)