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Deep clustering: Discriminative embeddings for segmentation and separation

, , , and . (2015)cite arxiv:1508.04306Comment: Originally submitted on June 5, 2015.

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Language independent end-to-end architecture for joint language identification and speech recognition., , and . ASRU, page 265-271. IEEE, (2017)Effectiveness of discriminative training and feature transformation for reverberated and noisy speech., , and . ICASSP, page 6935-6939. IEEE, (2013)Structural Bayesian Linear Regression for Hidden Markov Models., , and . J. Signal Process. Syst., 74 (3): 341-358 (2014)An analysis of environment, microphone and data simulation mismatches in robust speech recognition., , , , and . Comput. Speech Lang., (2017)Beamforming networks using spatial covariance features for far-field speech recognition., , , and . APSIPA, page 1-6. IEEE, (2016)Weakly-Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation., , , and . IJCNN, page 1-8. IEEE, (2019)End-to-End Monaural Multi-speaker ASR System without Pretraining., , , and . CoRR, (2018)Application of variational Bayesian estimation and clustering to acoustic model adaptation., , , and . ICASSP (1), page 568-571. IEEE, (2003)Acoustic Model Adaptation Based on Coarse/Fine Training of Transfer Vectors Using Directional Statistics., and . ICASSP (1), page 1005-1008. IEEE, (2006)Speech Recognition Based on Student's t-Distribution Derived from Total Bayesian Framework., and . IEICE Trans. Inf. Syst., 89-D (3): 970-980 (2006)