755 citations · 2.7k across the 91 of their papers we have counts for
14 papers · 1 filter
Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh
Ali Girayhan Özbay, Arash Hamzehloo, Sylvain Laizet +3
The Poisson equation is commonly encountered in engineering, for instance in computational fluid dynamics (CFD) where it is needed to compute corrections to the pressure field to e…
Acoustic Sounds for Wellbeing: A Novel Dataset and Baseline Results
Alice Baird, Bjoern Schuller
The field of sound healing includes ancient practices coming from a broad range of cultures. Across such practices there is a variety of acoustic instrumentation utilised. Practiti…
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings
Jing Han, Zixing Zhang, Zhao Ren +1
Despite remarkable advances in emotion recognition, they are severely restrained from either the essentially limited property of the employed single modality, or the synchronous pr…
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition" is the ninth competition event aime…
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition
Siddique Latif, Rajib Rana, Sara Khalifa +3
Inspite the emerging importance of Speech Emotion Recognition (SER), the state-of-the-art accuracy is quite low and needs improvement to make commercial applications of SER viable.…
Single-Channel Speech Separation with Auxiliary Speaker Embeddings
Shuo Liu, Gil Keren, Björn Schuller
We present a novel source separation model to decompose asingle-channel speech signal into two speech segments belonging to two different speakers. The proposed model is a neural n…
A Comparison of Online Automatic Speech Recognition Systems and the Nonverbal Responses to Unintelligible Speech
Joshua Y. Kim, Chunfeng Liu, Rafael A. Calvo +4
Automatic Speech Recognition (ASR) systems have proliferated over the recent years to the point that free platforms such as YouTube now provide speech recognition services. Given t…
Synthesising 3D Facial Motion from "In-the-Wild" Speech
Panagiotis Tzirakis, Athanasios Papaioannou, Alexander Lattas +3
Synthesising 3D facial motion from speech is a crucial problem manifesting in a multitude of applications such as computer games and movies. Recently proposed methods tackle this p…
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech
Zixing Zhang, Bingwen Wu, Bjoern Schuller
Despite the increasing research interest in end-to-end learning systems for speech emotion recognition, conventional systems either suffer from the overfitting due in part to the l…
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data
Zixing Zhang, Jing Han, Kun Qian +3
One of the frontier issues that severely hamper the development of automatic snore sound classification (ASSC) associates to the lack of sufficient supervised training data. To cop…
Responsible and Representative Multimodal Data Acquisition and Analysis: On Auditability, Benchmarking, Confidence, Data-Reliance & Explainability
Alice Baird, Simone Hantke, Björn Schuller
The ethical decisions behind the acquisition and analysis of audio, video or physiological human data, harnessed for (deep) machine learning algorithms, is an increasing concern fo…
Voice command generation using Progressive Wavegans
Thomas Wiest, Nicholas Cummins, Alice Baird +3
Generative Adversarial Networks (GANs) have become exceedingly popular in a wide range of data-driven research fields, due in part to their success in image generation. Their abili…
The Many-to-Many Mapping Between the Concordance Correlation Coefficient and the Mean Square Error
Vedhas Pandit, Björn Schuller
We derive the mapping between two of the most pervasive utility functions, the mean square error () and the concordance correlation coefficient (CCC, ). Despite its drawb…
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
Jean Kossaifi, Robert Walecki, Yannis Panagakis +10
Natural human-computer interaction and audio-visual human behaviour sensing systems, which would achieve robust performance in-the-wild are more needed than ever as digital devices…