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Generative Models

7,221 papers

Papers per year

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Papers

A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation INTERSPEECH 2017
Learning Latent Representations for Speech Generation and Transformation INTERSPEECH 2017
Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks INTERSPEECH 2017
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification INTERSPEECH 2017
Speech Enhancement Using Bayesian Wavenet INTERSPEECH 2017
Conditional Generative Adversarial Nets Classifier for Spoken Language Identification INTERSPEECH 2017
Unsupervised Filterbank Learning Using Convolutional Restricted Boltzmann Machine for Environmental Sound Classification INTERSPEECH 2017
Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks INTERSPEECH 2017
Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis INTERSPEECH 2017
SEGAN: Speech Enhancement Generative Adversarial Network INTERSPEECH 2017
DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface INTERSPEECH 2017
Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs INTERSPEECH 2017
Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System INTERSPEECH 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation JMLR 2017
Document Neural Autoregressive Distribution Estimation JMLR 2017
Conditional Generative Moment-Matching Networks NIPS 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks NIPS 2016
Generating Videos with Scene Dynamics NIPS 2016
Variational Bayes on Monte Carlo Steroids NIPS 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks NIPS 2016
Unsupervised Learning of 3D Structure from Images NIPS 2016
Learnable Visual Markers NIPS 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks NIPS 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NIPS 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NIPS 2016