15 citations · 86 across the 18 of their papers we have counts for
18 papers
Advancing Regular Language Reasoning in Linear Recurrent Neural Networks
Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky
In recent studies, linear recurrent neural networks (LRNNs) have achieved Transformer-level performance in natural language and long-range modeling, while offering rapid parallel t…
Structured Dialogue Discourse Parsing
Ta-Chung Chi, Alexander I. Rudnicky
Dialogue discourse parsing aims to uncover the internal structure of a multi-participant conversation by finding all the discourse~\emph{links} and corresponding~\emph{relations}.…
Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4
Mario Rodríguez-Cantelar, Chen Zhang, Chengguang Tang +5
The advent and fast development of neural networks have revolutionized the research on dialogue systems and subsequently have triggered various challenges regarding their automatic…
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky
Recent Text-to-Speech (TTS) systems trained on reading or acted corpora have achieved near human-level naturalness. The diversity of human speech, however, often goes beyond the co…
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…
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky +1
While deep generative models have succeeded in image processing, natural language processing, and reinforcement learning, training that involves discrete random variables remains c…
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge +1
Relative positional embeddings (RPE) have received considerable attention since RPEs effectively model the relative distance among tokens and enable length extrapolation. We propos…
Automatic Evaluation and Moderation of Open-domain Dialogue Systems
Chen Zhang, João Sedoc, Luis Fernando D'Haro +2
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 und…
Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection
Ta-Chung Chi, Alexander I. Rudnicky
Dialogue disentanglement aims to group utterances in a long and multi-participant dialogue into threads. This is useful for discourse analysis and downstream applications such as d…
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
Li-Wei Chen, Alexander Rudnicky
While Wav2Vec 2.0 has been proposed for speech recognition (ASR), it can also be used for speech emotion recognition (SER); its performance can be significantly improved using diff…
Fine-grained style control in Transformer-based Text-to-speech Synthesis
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). Specifically, we model the…
Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021
Takashi Maekaku, Xuankai Chang, Yuya Fujita +3
We present a system for the Zero Resource Speech Challenge 2021, which combines a Contrastive Predictive Coding (CPC) with deep cluster. In deep cluster, we first prepare pseudo-la…
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…
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…
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…
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…
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…
Learning Conversational Systems that Interleave Task and Non-Task Content
Zhou Yu, Alan W Black, Alexander I. Rudnicky
Task-oriented dialog systems have been applied in various tasks, such as automated personal assistants, customer service providers and tutors. These systems work well when users ha…