26 citations · 55 across the 20 of their papers we have counts for
20 papers
VQ-T: RNN Transducers using Vector-Quantized Prediction Network States
Jiatong Shi, George Saon, David Haws +2
Beam search, which is the dominant ASR decoding algorithm for end-to-end models, generates tree-structured hypotheses. However, recent studies have shown that decoding with hypothe…
Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis
Raul Fernandez, David Haws, Guy Lorberbom +2
Sequence-to-Sequence Text-to-Speech architectures that directly generate low level acoustic features from phonetic sequences are known to produce natural and expressive speech when…
Reducing Exposure Bias in Training Recurrent Neural Network Transducers
Xiaodong Cui, Brian Kingsbury, George Saon +2
When recurrent neural network transducers (RNNTs) are trained using the typical maximum likelihood criterion, the prediction network is trained only on ground truth label sequences…
Supervised and Unsupervised Approaches for Controlling Narrow Lexical Focus in Sequence-to-Sequence Speech Synthesis
Slava Shechtman, Raul Fernandez, David Haws
Although Sequence-to-Sequence (S2S) architectures have become state-of-the-art in speech synthesis, capable of generating outputs that approach the perceptual quality of natural sa…
Polyhedral aspects of score equivalence in Bayesian network structure learning
James Cussens, David Haws, Milan Studeny
This paper deals with faces and facets of the family-variable polytope and the characteristic-imset polytope, which are special polytopes used in integer linear programming approac…
MINT: Mutual Information based Transductive Feature Selection for Genetic Trait Prediction
Dan He, Irina Rish, David Haws +3
Whole genome prediction of complex phenotypic traits using high-density genotyping arrays has attracted a great deal of attention, as it is relevant to the fields of plant and anim…