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Found 22 papers, 0 papers with code
Evaluation of Off-the-shelf Speech Recognizers on Different Accents in a Dialogue Domain
We evaluate several publicly available off-the-shelf (commercial and research) automatic speech recognition (ASR) systems on dialogue agent-directed English speech from speakers with General American vs. non-American accents.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task
In this work, we study entrainment of users playing a creative reference resolution game with an autonomous dialogue system.
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
This is a report on the NSF Future Directions Workshop on Automatic Evaluation of Dialog.
Evaluation of Off-the-shelf Speech Recognizers Across Diverse Dialogue Domains
We evaluate several publicly available off-the-shelf (commercial and research) automatic speech recognition (ASR) systems across diverse dialogue domains (in US-English).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Predicting Ratings of Real Dialogue Participants from Artificial Data and Ratings of Human Dialogue Observers
We applied all these dialogue evaluation functions to a held-out portion of our WOz dialogues, and we report results on the predictive power of these different types of dialogue evaluation functions.
A Dialogue Annotation Scheme for Weight Management Chat using the Trans-Theoretical Model of Health Behavior Change
In this study we collect and annotate human-human role-play dialogues in the domain of weight management.
Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario
We introduce a dataset containing human-authored descriptions of target locations in an "end-of-trip in a taxi ride" scenario.
Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task
We present {``}conversational image editing{''}, a novel real-world application domain combining dialogue, visual information, and the use of computer vision.
Using Reinforcement Learning to Model Incrementality in a Fast-Paced Dialogue Game
We apply Reinforcement Learning (RL) to the problem of incremental dialogue policy learning in the context of a fast-paced dialogue game.
Practical Evaluation of Human and Synthesized Speech for Virtual Human Dialogue Systems
To determine the best trade-off between performance and cost, we perform a systematic evaluation of human and synthesized voices with regard to naturalness, conversational aspect, and likability.
