Search Results for author: Alexander Rudnicky

Found 9 papers, 6 papers with code

An Empirical study to understand the Compositional Prowess of Neural Dialog Models

1 code implementation insights (ACL) 2022 Vinayshekhar Kumar, Vaibhav Kumar, Mukul Bhutani, Alexander Rudnicky

In this work, we examine the problems associated with neural dialog models under the common theme of compositionality.

Automatic Evaluation and Moderation of Open-domain Dialogue Systems

2 code implementations3 Nov 2021 Chen Zhang, João Sedoc, Luis Fernando D'Haro, Rafael Banchs, Alexander Rudnicky

The development of Open-Domain Dialogue Systems (ODS)is a trending topic due to the large number of research challenges, large societal and business impact, and advances in the underlying technology.

Chatbot Dialogue Evaluation

Fine-grained style control in Transformer-based Text-to-speech Synthesis

1 code implementation12 Oct 2021 Li-Wei Chen, Alexander Rudnicky

In this paper, we present a novel architecture to realize fine-grained style control on the transformer-based text-to-speech synthesis (TransformerTTS).

Speech Synthesis Text-To-Speech Synthesis

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

no code implementations8 Nov 2017 Huiting Liu, Tao Lin, Hanfei Sun, Weijian Lin, Chih-Wei Chang, Teng Zhong, Alexander Rudnicky

RubyStar is a dialog system designed to create "human-like" conversation by combining different response generation strategies.

Question Answering Response Generation

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

no code implementations19 Jun 2017 Arjun Bhardwaj, Alexander Rudnicky

Since the classifier is meant to serve as a module in a practical dialog system, it needs to be able to work with limited training data and incorporate new data on the fly.

General Classification Intent Classification +1

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