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08/25/2023
Decoupled Structure for Improved Adaptability of End-to-End Models
Although end-to-end (E2E) trainable automatic speech recognition (ASR) h...
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08/14/2023
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations
Although automatic emotion recognition (AER) has recently drawn signific...
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07/04/2023
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data
Manually annotating fine-grained slot-value labels for task-oriented dia...
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06/11/2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
In automatic emotion recognition (AER), labels assigned by different hum...
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06/02/2023
Can Contextual Biasing Remain Effective with Whisper and GPT-2?
End-to-end automatic speech recognition (ASR) and large language models,...
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05/20/2023
Self-supervised representations in speech-based depression detection
This paper proposes handling training data sparsity in speech-based auto...
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02/16/2023
Adaptable End-to-End ASR Models using Replaceable Internal LMs and Residual Softmax
End-to-end (E2E) automatic speech recognition (ASR) implicitly learns th...
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11/09/2022
Distribution-based Emotion Recognition in Conversation
Automatic emotion recognition in conversation (ERC) is crucial for emoti...
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11/04/2022
Biased Self-supervised learning for ASR
Self-supervised learning via masked prediction pre-training (MPPT) has s...
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10/29/2022
End-to-end Spoken Language Understanding with Tree-constrained Pointer Generator
End-to-end spoken language understanding (SLU) suffers from the long-tai...
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10/24/2022
Spectral Clustering-aware Learning of Embeddings for Speaker Diarisation
In speaker diarisation, speaker embedding extraction models often suffer...
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07/08/2022
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription
Self-supervised-learning-based pre-trained models for speech data, such ...
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07/02/2022
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition
Incorporating biasing words obtained as contextual knowledge is critical...
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05/18/2022
Minimising Biasing Word Errors for Contextual ASR with the Tree-Constrained Pointer Generator
Contextual knowledge is essential for reducing speech recognition errors...
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03/08/2022
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors
Emotion recognition is a key attribute for artificial intelligence syste...
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10/07/2021
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition
As end-to-end automatic speech recognition (ASR) models reach promising ...
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09/01/2021
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition
Contextual knowledge is important for real-world automatic speech recogn...
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07/29/2021
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition
Language models (LMs) pre-trained on massive amounts of text, in particu...
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03/25/2021
Residual Energy-Based Models for End-to-End Speech Recognition
End-to-end models with auto-regressive decoders have shown impressive re...
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03/12/2021
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training
This paper presents a novel natural gradient and Hessian-free (NGHF) opt...
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10/27/2020
Emotion recognition by fusing time synchronous and time asynchronous representations
In this paper, a novel two-branch neural network model structure is prop...
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10/22/2020
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition
For various speech-related tasks, confidence scores from a speech recogn...
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08/09/2020
Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings
In this paper, we propose a semi-supervised learning (SSL) technique for...
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11/10/2019
Improved Large-margin Softmax Loss for Speaker Diarisation
Speaker diarisation systems nowadays use embeddings generated from speec...
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10/22/2019
Discriminative Neural Clustering for Speaker Diarisation
This paper proposes a novel method for supervised data clustering. The c...
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09/14/2019
Integrating Source-channel and Attention-based Sequence-to-sequence Models for Speech Recognition
This paper proposes a novel automatic speech recognition (ASR) framework...
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04/06/2018
Sequence Training of DNN Acoustic Models With Natural Gradient
Deep Neural Network (DNN) acoustic models often use discriminative seque...
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10/02/2016
