activity
20162023
most citedAn Overview on Audio, Signal, Speech, & Language Processing for COVID-19

71 citations · 366 across the 54 of their papers we have counts for

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Showing 2018Show all

11 papers · 1 filter

eess.AS2018

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…

cs.LG2018

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.…

cs.CL2018

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…

cs.SD2018

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…

cs.CV2018

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…

cs.CV2018

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…