4 citations · 14 across the 10 of their papers we have counts for
10 papers
MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge
Zijiang Yang, Meishu Song, Xin Jing +7
The Mice Autism Detection via Ultrasound Vocalization (MADUV) Challenge introduces the first INTERSPEECH challenge focused on detecting autism spectrum disorder (ASD) in mice throu…
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition
Yi Chang, Zhao Ren, Zixing Zhang +6
Speech contains rich information on the emotions of humans, and Speech Emotion Recognition (SER) has been an important topic in the area of human-computer interaction. The robustne…
U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech
Xin Jing, Yi Chang, Zijiang Yang +3
Deep learning has led to considerable advances in text-to-speech synthesis. Most recently, the adoption of Score-based Generative Models (SGMs), also known as Diffusion Probabilist…
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird +20
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalen…
Redundancy Reduction Twins Network: A Training framework for Multi-output Emotion Regression
Xin Jing, Meishu Song, Andreas Triantafyllopoulos +2
In this paper, we propose the Redundancy Reduction Twins Network (RRTN), a redundancy reduction training framework that minimizes redundancy by measuring the cross-correlation matr…
Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression
Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos +6
We propose a novel Dynamic Restrained Uncertainty Weighting Loss to experimentally handle the problem of balancing the contributions of multiple tasks on the ICML ExVo 2022 Challen…
Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction
Andreas Triantafyllopoulos, Meishu Song, Zijiang Yang +2
In this work, we explore a novel few-shot personalisation architecture for emotional vocalisation prediction. The core contribution is an `enrolment' encoder which utilises two unl…
A Temporal-oriented Broadcast ResNet for COVID-19 Detection
Xin Jing, Shuo Liu, Emilia Parada-Cabaleiro +4
Detecting COVID-19 from audio signals, such as breathing and coughing, can be used as a fast and efficient pre-testing method to reduce the virus transmission. Due to the promising…
An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion
Zijiang Yang, Xin Jing, Andreas Triantafyllopoulos +3
Emotional voice conversion (EVC) focuses on converting a speech utterance from a source to a target emotion; it can thus be a key enabling technology for human-computer interaction…
DXQ-Net: Differentiable LiDAR-Camera Extrinsic Calibration Using Quality-aware Flow
Xin Jing, Xiaqing Ding, Rong Xiong +2
Accurate LiDAR-camera extrinsic calibration is a precondition for many multi-sensor systems in mobile robots. Most calibration methods rely on laborious manual operations and calib…