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04/10/2023
Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR Transcriptions
This paper presents our latest investigation on modeling backchannel in ...
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10/20/2022
Improving Semi-supervised End-to-end Automatic Speech Recognition using CycleGAN and Inter-domain Losses
We propose a novel method that combines CycleGAN and inter-domain losses...
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12/19/2021
Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switching
Code-Switching (CS) is a common linguistic phenomenon in multilingual co...
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12/19/2021
Investigation of Densely Connected Convolutional Networks with Domain Adversarial Learning for Noise Robust Speech Recognition
We investigate densely connected convolutional networks (DenseNets) and ...
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12/12/2021
Improving Code-switching Language Modeling with Artificially Generated Texts using Cycle-consistent Adversarial Networks
This paper presents our latest effort on improving Code-switching langua...
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12/12/2021
Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN
This paper presents our latest investigations on improving automatic spe...
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08/29/2021
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech
Code-switching (CS), defined as the mixing of languages in conversations...
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05/04/2020
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
We present ADVISER - an open-source, multi-domain dialog system toolkit ...
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02/28/2019
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions
This paper presents our latest investigations on dialog act (DA) classif...
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08/10/2018
