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Paper Publications

lingzhenhua,lingzhenhua.MODELING SPECTRAL ENVELOPES USING RESTRICTED BOLTZMANN MACHINES FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS.2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP),2012,7825-7829.
lingzhenhua,lingzhenhua.HMM-based hierarchical unit selection combining Kullback-Leibler divergence with likelihood criterion.2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PTS 1-3,2006,1245-+.
lingzhenhua,lingzhenhua.Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth Extension.IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2018,26(5):883-894.
lingzhenhua.Statistical parametric speech synthesis using a hidden trajectory model.SPEECH COMMUNICATION,2015,72149-159.
lingzhenhua.HMM-based unit selection speech synthesis using log likelihood ratios derived from perceptual data.SPEECH COMMUNICATION,63-6427-37.
lingzhenhua,lingzhenhua.Minimum Kullback-Leibler Divergence Parameter Generation for HMM-Based Speech Synthesis.IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2012,20(5):1492-1502.
lingzhenhua,lingzhenhua.An Analysis of HMM-based prediction of articulatory movements.SPEECH COMMUNICATION,2010,52(10):834-846.
lingzhenhua,lingzhenhua.Modeling Spectral Envelopes Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis.IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2013,21(10):2129-2139.
lingzhenhua.Concept-to-Speech generation with knowledge sharing for acoustic modelling and utterance filtering.COMPUTER SPEECH AND LANGUAGE,2016,3846-67.
Deep Learning for Acoustic Modeling in Parametric Speech Generation.IEEE SIGNAL PROCESSING MAGAZINE,2015,32(3):35-52.
lingzhenhua.Modeling F0 trajectories in hierarchically structured deep neural networks.SPEECH COMMUNICATION,2016,7682-92.
lingzhenhua,lingzhenhua.Articulatory Control of HMM-Based Parametric Speech Synthesis Using Feature-Space-Switched Multiple Regression.IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2012,21(1):205-217.

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