2 citations · 4 across the 5 of their papers we have counts for
5 papers
An Improved Model for Voicing Silent Speech
David Gaddy, Dan Klein
In this paper, we present an improved model for voicing silent speech, where audio is synthesized from facial electromyography (EMG) signals. To give our model greater flexibility…
Digital Voicing of Silent Speech
David Gaddy, Dan Klein
In this paper, we consider the task of digitally voicing silent speech, where silently mouthed words are converted to audible speech based on electromyography (EMG) sensor measurem…
Overcoming Conflicting Data when Updating a Neural Semantic Parser
David Gaddy, Alex Kouzemtchenko, Pavankumar Reddy Muddireddy +2
In this paper, we explore how to use a small amount of new data to update a task-oriented semantic parsing model when the desired output for some examples has changed. When making…
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
David Gaddy, Dan Klein
We consider the problem of learning to map from natural language instructions to state transitions (actions) in a data-efficient manner. Our method takes inspiration from the idea…
What's Going On in Neural Constituency Parsers? An Analysis
David Gaddy, Mitchell Stern, Dan Klein
A number of differences have emerged between modern and classic approaches to constituency parsing in recent years, with structural components like grammars and feature-rich lexico…