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6381 directly classified papers

Papers per year

Papers

Speech Bandwidth Extension Using Bottleneck Features and Deep Recurrent Neural Networks INTERSPEECH 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
Semi-Supervised Speaker Adaptation for In-Vehicle Speech Recognition with Deep Neural Networks INTERSPEECH 2016
A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation INTERSPEECH 2016
An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement INTERSPEECH 2016
Language Identification Based on Generative Modeling of Posteriorgram Sequences Extracted from Frame-by-Frame DNNs and LSTM-RNNs INTERSPEECH 2016
Maximum a posteriori Based Decoding for CTC Acoustic Models INTERSPEECH 2016
Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016
Modeling and Transforming Speech Using Variational Autoencoders INTERSPEECH 2016
Assessing Speech Quality in Speech-Aware Hearing Aids Based on Phoneme Posteriorgrams INTERSPEECH 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
A Deep Generative Deconvolutional Image Model AISTATS 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images ICML 2016
Generative Adversarial Text to Image Synthesis ICML 2016
Weakly-supervised text-to-speech alignment confidence measure COLING 2016
Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance INTERSPEECH 2016
A Feature Study for Masking-Based Reverberant Speech Separation INTERSPEECH 2016
Modelling Symbolic Music: Beyond the Piano Roll ACML 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016
On Theoretical Properties of Sum-Product Networks AISTATS 2015
Deep Exponential Families AISTATS 2015
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models ACML 2015
Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015