activity
20172022
most citedRubyStar: A Non-Task-Oriented Mixture Model Dialog System

14 citations · 23 across the 5 of their papers we have counts for

collaborators

6 papers

eess.AS2022

A unified one-shot prosody and speaker conversion system with self-supervised discrete speech units

Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky

We present a unified system to realize one-shot voice conversion (VC) on the pitch, rhythm, and speaker attributes. Existing works generally ignore the correlation between prosody…

cs.CL20202 cited

Adjusting Image Attributes of Localized Regions with Low-level Dialogue

Tzu-Hsiang Lin, Alexander Rudnicky, Trung Bui +2

Natural Language Image Editing (NLIE) aims to use natural language instructions to edit images. Since novices are inexperienced with image editing techniques, their instructions ar…

cs.AI20197 cited

The Second Conversational Intelligence Challenge (ConvAI2)

Emily Dinan, Varvara Logacheva, Valentin Malykh +14

We describe the setting and results of the ConvAI2 NeurIPS competition that aims to further the state-of-the-art in open-domain chatbots. Some key takeaways from the competition ar…

cs.CL2018

Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture

George Larionov, Zachary Kaden, Hima Varsha Dureddy +5

This paper describes the Tartan conversational agent built for the 2018 Alexa Prize Competition. Tartan is a non-goal-oriented socialbot focused around providing users with an enga…

cs.CL201714 cited

RubyStar: A Non-Task-Oriented Mixture Model Dialog System

Huiting Liu, Tao Lin, Hanfei Sun +4

RubyStar is a dialog system designed to create "human-like" conversation by combining different response generation strategies. RubyStar conducts a non-task-oriented conversation o…

cs.AI2017

User Intent Classification using Memory Networks: A Comparative Analysis for a Limited Data Scenario

Arjun Bhardwaj, Alexander Rudnicky

In this report, we provide a comparative analysis of different techniques for user intent classification towards the task of app recommendation. We analyse the performance of diffe…