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09/21/2023
Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues
In this paper, we investigate the use of large language models (LLMs) li...
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06/01/2023
Adversarial learning of neural user simulators for dialogue policy optimisation
Reinforcement learning based dialogue policies are typically trained in ...
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06/01/2023
A Teacher-Student approach for extracting informative speaker embeddings from speech mixtures
We introduce a monaural neural speaker embeddings extractor that compute...
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04/24/2023
Self-regularised Minimum Latency Training for Streaming Transformer-based Speech Recognition
This paper proposes a self-regularised minimum latency training (SR-MLT)...
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04/21/2023
Non-autoregressive End-to-end Approaches for Joint Automatic Speech Recognition and Spoken Language Understanding
This paper presents the use of non-autoregressive (NAR) approaches for j...
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07/29/2022
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer
This paper proposes a new approach to perform unsupervised fine-tuning a...
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05/09/2022
Speaker Reinforcement Using Target Source Extraction for Robust Automatic Speech Recognition
Improving the accuracy of single-channel automatic speech recognition (A...
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05/03/2022
On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training
In this paper, we explore an improved framework to train a monoaural neu...
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04/14/2022
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling
A major bottleneck for building statistical spoken dialogue systems for ...
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03/11/2022
Transformer-based Streaming ASR with Cumulative Attention
In this paper, we propose an online attention mechanism, known as cumula...
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01/10/2022
A study on cross-corpus speech emotion recognition and data augmentation
Models that can handle a wide range of speakers and acoustic conditions ...
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11/15/2021
Monaural source separation: From anechoic to reverberant environments
Impressive progress in neural network-based single-channel speech source...
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09/17/2021
Towards Handling Unconstrained User Preferences in Dialogue
A user input to a schema-driven dialogue information navigation system, ...
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06/15/2021
Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation
In this paper, we introduce a novel semi-supervised learning framework f...
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03/29/2021
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition
This paper proposes an adaptation method for end-to-end speech recogniti...
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02/09/2021
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers
Although the lower layers of a deep neural network learn features which ...
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02/07/2021
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism
In this paper, we present a novel multi-channel speech extraction system...
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11/11/2020
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments
This paper introduces a new method for multi-channel time domain speech ...
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11/09/2020
Action State Update Approach to Dialogue Management
Utterance interpretation is one of the main functions of a dialogue mana...
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09/26/2019
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for CHiME-5 Dinner Party Transcription
Despite the strong modeling power of neural network acoustic models, spe...
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09/13/2015