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07/05/2023
Going Retro: Astonishingly Simple Yet Effective Rule-based Prosody Modelling for Speech Synthesis Simulating Emotion Dimensions
We introduce two rule-based models to modify the prosody of speech synth...
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06/29/2023
Speech-based Age and Gender Prediction with Transformers
We report on the curation of several publicly available datasets for age...
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05/23/2023
Improving Speech Emotion Recognition Performance using Differentiable Architecture Search
Speech Emotion Recognition (SER) is a critical enabler of emotion-aware ...
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05/19/2023
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model
In this paper, we propose to utilise diffusion models for data augmentat...
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03/09/2023
hierarchical network with decoupled knowledge distillation for speech emotion recognition
The goal of Speech Emotion Recognition (SER) is to enable computers to r...
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11/14/2022
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
Automated emotion recognition (AER) technology can detect humans' emotio...
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10/27/2022
Proceedings of the ACII Affective Vocal Bursts Workshop and Competition 2022 (A-VB): Understanding a critically understudied modality of emotional expression
This is the Proceedings of the ACII Affective Vocal Bursts Workshop and ...
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07/14/2022
Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts
This is the Proceedings of the ICML Expressive Vocalization (ExVo) Compe...
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07/07/2022
The ACII 2022 Affective Vocal Bursts Workshop Competition: Understanding a critically understudied modality of emotional expression
The ACII Affective Vocal Bursts Workshop Competition is focused on u...
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06/26/2022
Data Augmentation for Dementia Detection in Spoken Language
Dementia is a growing problem as our society ages, and detection methods...
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06/15/2022
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning
Emotion classification of speech and assessment of the emotion strength ...
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05/03/2022
The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts
The ICML Expressive Vocalization (ExVo) Competition is focused on unders...
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04/19/2022
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition
Despite the recent advancement in speech emotion recognition (SER) withi...
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09/16/2021
A Machine Learning Framework for Automatic Prediction of Human Semen Motility
In this paper, human semen samples from the visem dataset collected by t...
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05/04/2021
An Estimation of Online Video User Engagement from Features of Continuous Emotions
Portraying emotion and trustworthiness is known to increase the appeal o...
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04/19/2021
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
This study investigates the potential of deep learning methods to identi...
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03/10/2021
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition
In this manuscript, the topic of multi-corpus Speech Emotion Recognition...
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02/18/2021
An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild
Affective Computing has recently attracted the attention of the research...
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01/15/2021
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements
Truly real-life data presents a strong, but exciting challenge for senti...
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01/12/2021
Personalized Federated Deep Learning for Pain Estimation From Face Images
Standard machine learning approaches require centralizing the users' dat...
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05/18/2020
An Overview on Audio, Signal, Speech, Language Processing for COVID-19
Recently, there has been an increased attention towards innovating, enha...
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03/05/2020
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data
Recent improvements in Generative Adversarial Neural Networks (GANs) hav...
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02/03/2020
Adversarial-based neural network for affect estimations in the wild
There is a growing interest in affective computing research nowadays giv...
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02/03/2020
Adversarial-based neural networks for affect estimations in the wild
There is a growing interest in affective computing research nowadays giv...
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11/16/2019
N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System
N-HANS is a Python toolkit for in-the-wild audio enhancement, including ...
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10/18/2019
Poisson CNN: Convolutional Neural Networks for the Solution of the Poisson Equation with Varying Meshes and Dirichlet Boundary Conditions
The Poisson equation is commonly encountered in engineering, including i...
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08/30/2019
On Laughter and Speech-Laugh, Based on Observations of Child-Robot Interaction
In this article, we study laughter found in child-robot interaction wher...
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07/23/2019
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings
Despite remarkable advances in emotion recognition, they are severely re...
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07/10/2019
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mi...
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06/24/2019
Single-Channel Speech Separation with Auxiliary Speaker Embeddings
We present a novel source separation model to decompose asingle-channel ...
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06/07/2019
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach
Human behavior expression and experience are inherently multi-modal, and...
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04/15/2019
Synthesising 3D Facial Motion from "In-the-Wild" Speech
Synthesising 3D facial motion from speech is a crucial problem manifesti...
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03/17/2019
Responsible and Representative Multimodal Data Acquisition and Analysis: On Auditability, Benchmarking, Confidence, Data-Reliance & Explainability
The ethical decisions behind the acquisition and analysis of audio, vide...
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03/13/2019
Voice command generation using Progressive Wavegans
Generative Adversarial Networks (GANs) have become exceedingly popular i...
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02/14/2019
On Many-to-Many Mapping Between Concordance Correlation Coefficient and Mean Square Error
The concordance correlation coefficient (CCC) is one of the most widely ...
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01/09/2019
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
Natural human-computer interaction and audio-visual human behaviour sens...
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10/26/2018
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
We address the problem of speech enhancement generalisation to unseen en...
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09/26/2018
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction
Time-continuous emotion prediction has become an increasingly compelling...
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09/21/2018
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
Over the past few years, adversarial training has become an extremely ac...
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05/03/2018
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification
The performance of speaker-related systems usually degrades heavily in p...
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05/03/2018
audEERING's approach to the One-Minute-Gradual Emotion Challenge
This paper describes audEERING's submissions as well as additional evalu...
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04/29/2018
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Automatic understanding of human affect using visual signals is of great...
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03/26/2018
Calibrated Prediction Intervals for Neural Network Regressors
Ongoing developments in neural network models are continually advancing ...
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02/07/2018
Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora
Scientific disciplines, such as Behavioural Psychology, Anthropology and...
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02/04/2018
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy
Robots have great potential to facilitate future therapies for children ...
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01/10/2018
Weakly Supervised One-Shot Detection with Attention Siamese Networks
We consider the task of weakly supervised one-shot detection. In this ta...
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12/12/2017
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks
auDeep is a Python toolkit for deep unsupervised representation learning...
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07/27/2017
Learning Audio Sequence Representations for Acoustic Event Classification
Acoustic Event Classification (AEC) has become a significant task for ma...
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05/30/2017
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
Eliminating the negative effect of non-stationary environmental noise is...
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05/29/2017
