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06/16/2023
Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances
This paper explores grading text-based audio retrieval relevances with c...
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06/05/2023
Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System
Speech representation learning with self-supervised algorithms has resul...
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06/02/2023
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Self-supervised techniques for learning speech representations have been...
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05/19/2023
Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Mode
In this paper, we show that representations capturing syllabic units eme...
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05/16/2023
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors
The recently-developed infant wearable MAIJU provides a means to automat...
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05/03/2023
Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research
Modelling of early language acquisition aims to understand how infants b...
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11/08/2022
On Negative Sampling for Contrastive Audio-Text Retrieval
This paper investigates negative sampling for contrastive learning in th...
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06/21/2022
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition
When domain experts are needed to perform data annotation for complex ma...
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11/04/2021
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel
While multi-agent reinforcement learning has been used as an effective m...
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09/29/2021
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? – A computational investigation
Decades of research has studied how language learning infants learn to d...
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08/16/2021
Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment
Imprecise vowel articulation can be observed in people with Parkinson's ...
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07/14/2021
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
We present the visually-grounded language modelling track that was intro...
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07/02/2021
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors
Infant motility assessment using intelligent wearables is a promising ne...
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06/14/2021
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit
Researchers have recently started to study how the emotional speech hear...
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08/03/2020
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics
Unsupervised spoken term discovery (UTD) aims at finding recurring segme...
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07/08/2020
Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets
Neural network models using predictive coding are interesting from the v...
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09/21/2019
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
Infant's spontaneous movements mirror integrity of brain networks, and t...
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06/24/2019
A computational model of early language acquisition from audiovisual experiences of young infants
Earlier research has suggested that human infants might use statistical ...
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06/24/2019
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech
Automatic syllable count estimation (SCE) is used in a variety of applic...
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08/01/2016