Ryan Thomas — accepted AI-conference papers

2024

Ontologically Faithful Generation of Non-Player Character Dialogues

Nathaniel Weir, Ryan Thomas, Randolph d’Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani

EMNLP 2024main

We introduce a language generation dataset grounded in a popular video game. KNUDGE (**KN**owledge Constrained **U**ser-NPC **D**ialogue **GE**neration) requires models to produce trees of dialogue between video game characters that accurately reflect quest and entity specifications stated in natura…

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2018

Monophone-Based Background Modeling for Two-Stage On-Device Wake Word Detection

Minhua Wu, Sankaran Panchapagesan, Ming Sun, Jiacheng Gu, Ryan Thomas, Shiv Naga Prasad Vitaladevuni +2

ICASSP 2018accepted

Accurate on-device wake word detection is crucial to products with far-field voice control such as the Amazon Echo. It is quite challenging to build a wake word system with both low False Reject Rate (FRR) and low False Alarm Rate (FAR) in real scenarios where there are various types of background s…

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