46 citations · 113 across the 19 of their papers we have counts for
4 papers · 1 filter
Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency
Matt Whitehill, Shuang Ma, Daniel McDuff +1
Current multi-reference style transfer models for Text-to-Speech (TTS) perform sub-optimally on disjoints datasets, where one dataset contains only a single style class for one of…
Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
Shuang Ma, Daniel McDuff, Yale Song
Deep generative models have led to significant advances in cross-modal generation such as text-to-image synthesis. Training these models typically requires paired data with direct…
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
Shuang Ma, Daniel McDuff, Yale Song
Generative adversarial networks have led to significant advances in cross-modal/domain translation. However, typically these networks are designed for a specific task (e.g., dialog…
Characterizing Bias in Classifiers using Generative Models
Daniel McDuff, Shuang Ma, Yale Song +1
Models that are learned from real-world data are often biased because the data used to train them is biased. This can propagate systemic human biases that exist and ultimately lead…