71 citations · 366 across the 54 of their papers we have counts for
11 papers · 1 filter
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
Gil Keren, Jing Han, Björn Schuller
We address the problem of speech enhancement generalisation to unseen environments by performing two manipulations. First, we embed an additional recording from the environment alo…
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction
Zixing Zhang, Jing Han, Eduardo Coutinho +1
Time-continuous emotion prediction has become an increasingly compelling task in machine learning. Considerable efforts have been made to advance the performance of these systems.…
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
Jing Han, Zixing Zhang, Nicholas Cummins +1
Over the past few years, adversarial training has become an extremely active research topic and has been successfully applied to various Artificial Intelligence (AI) domains. As a…
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification
Siyang Song, Shuimei Zhang, Björn Schuller +2
The performance of speaker-related systems usually degrades heavily in practical applications largely due to the presence of background noise. To improve the robustness of such sys…
audEERING's approach to the One-Minute-Gradual Emotion Challenge
Andreas Triantafyllopoulos, Hesam Sagha, Florian Eyben +1
This paper describes audEERING's submissions as well as additional evaluations for the One-Minute-Gradual (OMG) emotion recognition challenge. We provide the results for audio and…
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou +5
Automatic understanding of human affect using visual signals is of great importance in everyday human-machine interactions. Appraising human emotional states, behaviors and reactio…