Shane Settle — accepted AI-conference papers

2019

Acoustically Grounded Word Embeddings for Improved Acoustics-to-word Speech Recognition

Shane Settle, Kartik Audhkhasi, Karen Livescu, Michael Picheny

ICASSP 2019accepted

Direct acoustics-to-word (A2W) systems for end-to-end automatic speech recognition are simpler to train, and more efficient to decode with, than sub-word systems. However, A2W systems can have difficulties at training time when data is limited, and at decoding time when recognizing words outside the…

Cited by 0 Source ↗Scholar ↗

2018

End-to-End Multi-Speaker Speech Recognition

Shane Settle, Jonathan Le Roux, Takaaki Hori, Shinji Watanabe, John R. Hershey

ICASSP 2018accepted

Current advances in deep learning have resulted in a convergence of methods across a wide range of tasks, opening the door for tighter integration of modules that were previously developed and optimized in isolation. Recent ground-breaking works have produced end-to-end deep network methods for both…

Cited by 0 Source ↗Scholar ↗