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08/23/2023
Analysis of XLS-R for Speech Quality Assessment
In online conferencing applications, estimating the perceived quality of...
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06/19/2023
Rehearsal-Free Online Continual Learning for Automatic Speech Recognition
Fine-tuning an Automatic Speech Recognition (ASR) model to new domains r...
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06/12/2023
Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation
In dysarthric speech recognition, data scarcity and the vast diversity b...
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03/06/2023
Cross-Lingual Transfer Learning for Alzheimer's Detection From Spontaneous Speech
Alzheimer's disease (AD) is a progressive neurodegenerative disease most...
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02/03/2023
Relating EEG to continuous speech using deep neural networks: a review
Objective. When a person listens to continuous speech, a corresponding r...
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11/24/2022
Bidirectional Representations for Low Resource Spoken Language Understanding
Most spoken language understanding systems use a pipeline approach compo...
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11/24/2022
Multitask Learning for Low Resource Spoken Language Understanding
We explore the benefits that multitask learning offer to speech processi...
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11/18/2022
Impact of visual assistance for automated audio captioning
We study the impact of visual assistance for automated audio captioning....
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10/27/2022
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition
Adapting a trained Automatic Speech Recognition (ASR) model to new tasks...
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10/24/2022
Weak-Supervised Dysarthria-invariant Features for Spoken Language Understanding using an FHVAE and Adversarial Training
The scarcity of training data and the large speaker variation in dysarth...
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10/18/2022
Multi-Source Transformer Architectures for Audiovisual Scene Classification
In this technical report, the systems we submitted for subtask 1B of the...
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10/18/2022
Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection
In this technical report, the systems we submitted for subtask 4 of the ...
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10/14/2022
Learning to Jointly Transcribe and Subtitle for End-to-End Spontaneous Speech Recognition
TV subtitles are a rich source of transcriptions of many types of speech...
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10/01/2022
Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications
Speech quality in online conferencing applications is typically assessed...
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09/26/2022
Impact of temporal resolution on convolutional recurrent networks for audio tagging and sound event detection
Many state-of-the-art systems for audio tagging and sound event detectio...
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09/26/2022
Multi-encoder attention-based architectures for sound recognition with partial visual assistance
Large-scale sound recognition data sets typically consist of acoustic re...
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07/01/2022
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders
The electroencephalogram (EEG) is a powerful method to understand how th...
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06/28/2022
Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding
End-to-end spoken language understanding (SLU) systems benefit from pret...
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12/17/2021
Continual Learning for Monolingual End-to-End Automatic Speech Recognition
Adapting Automatic Speech Recognition (ASR) models to new domains leads ...
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10/11/2021
A Multi-Resolution Front-End for End-to-End Speech Anti-Spoofing
The choice of an optimal time-frequency resolution is usually a difficul...
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09/29/2021
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch
Recent research in speech processing exhibits a growing interest in unsu...
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06/17/2021
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model
Decoding the speech signal that a person is listening to from the human ...
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06/16/2021
On the long-term learning ability of LSTM LMs
We inspect the long-term learning ability of Long Short-Term Memory lang...
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06/09/2021
Audiovisual transfer learning for audio tagging and sound event detection
We study the merit of transfer learning for two sound recognition proble...
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05/14/2021
Predicting speech intelligibility from EEG using a dilated convolutional network
Objective: Currently, only behavioral speech understanding tests are ava...
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03/30/2021
Pre-training for low resource speech-to-intent applications
Designing a speech-to-intent (S2I) agent which maps the users' spoken co...
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09/01/2020
Analysis of memory in LSTM-RNNs for source separation
Long short-term memory recurrent neural networks (LSTM-RNNs) are conside...
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12/19/2019
Practical applicability of deep neural networks for overlapping speaker separation
This paper examines the applicability in realistic scenarios of two deep...
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12/19/2019
CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization
In recent years there have been many deep learning approaches towards th...
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12/02/2019
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events
We tackle the task of environmental event classification by drawing insp...
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01/30/2019
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models
We present a framework for the induction of semantic frames from utteran...
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09/24/2018
Information-Weighted Neural Cache Language Models for ASR
Neural cache language models (LMs) extend the idea of regular cache lang...
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08/24/2018
Memory Time Span in LSTMs for Multi-Speaker Source Separation
With deep learning approaches becoming state-of-the-art in many speech (...
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08/24/2018
Multi-scenario deep learning for multi-speaker source separation
Research in deep learning for multi-speaker source separation has receiv...
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05/11/2018
State Gradients for RNN Memory Analysis
We present a framework for analyzing what the state in RNNs remembers fr...
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05/08/2018
Capsule Networks for Low Resource Spoken Language Understanding
Designing a spoken language understanding system for command-and-control...
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09/12/2017
Language Models of Spoken Dutch
In Flanders, all TV shows are subtitled. However, the process of subtitl...
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08/29/2017
Improving Source Separation via Multi-Speaker Representations
Lately there have been novel developments in deep learning towards solvi...
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04/10/2017