In recent years, Large Language Models (LLMs) have garnered significant
...
Large language models have proven themselves highly flexible, able to so...
Recently reported state-of-the-art results in visual speech recognition ...
Subwords are the most widely used output units in end-to-end speech
reco...
In this paper, we describe KT-Speech-Crawler: an approach for automatic
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Previous work on emotion recognition demonstrated a synergistic effect o...
Speech emotion recognition (SER) is an important aspect of effective
hum...
Acoustically expressed emotions can make communication with a robot more...
The WASSA 2017 EmoInt shared task has the goal to predict emotion intens...
Acoustic emotion recognition aims to categorize the affective state of t...
In this work, we tackle a problem of speech emotion classification. One ...
This paper is the basis paper for the accepted IJCNN challenge One-Minut...