44 citations · 92 across the 14 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised Generative Modeling for Controllable Speech Synthesis
Raza Habib, Soroosh Mariooryad, Matt Shannon +5
We present a novel generative model that combines state-of-the-art neural text-to-speech (TTS) with semi-supervised probabilistic latent variable models. By providing partial super…
Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis
Eric Battenberg, RJ Skerry-Ryan, Soroosh Mariooryad +4
Despite the ability to produce human-level speech for in-domain text, attention-based end-to-end text-to-speech (TTS) systems suffer from text alignment failures that increase in f…
Complex Evolution Recurrent Neural Networks (ceRNNs)
Izhak Shafran, Tom Bagby, R. J. Skerry-Ryan
Unitary Evolution Recurrent Neural Networks (uRNNs) have three attractive properties: (a) the unitary property, (b) the complex-valued nature, and (c) their efficient linear operat…
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis
Eric Battenberg, Soroosh Mariooryad, Daisy Stanton +4
Recent work has explored sequence-to-sequence latent variable models for expressive speech synthesis (supporting control and transfer of prosody and style), but has not presented a…