Inchul Hwang — accepted AI-conference papers

2024

Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification

Michail Mitsios, Georgios Vamvoukakis, Georgia Maniati, Nikolaos Ellinas, Georgios Dimitriou, Konstantinos Markopoulos +10

NAACL 2024short

Emotion detection in textual data has received growing interest in recent years, as it is pivotal for developing empathetic human-computer interaction systems.This paper introduces a method for categorizing emotions from text, which acknowledges and differentiates between the diversified similaritie…

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2023

Investigating Content-Aware Neural Text-to-Speech MOS Prediction Using Prosodic and Linguistic Features

Alexandra Vioni, Georgia Maniati, Nikolaos Ellinas, June Sig Sung, Inchul Hwang, Aimilios Chalamandaris +1

ICASSP 2023accepted

Current state-of-the-art methods for automatic synthetic speech evaluation are based on MOS prediction neural models. Such MOS prediction models include MOSNet and LDNet that use spectral features as input, and SSL-MOS that relies on a pretrained selfsupervised learning model that directly uses the…

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2021

Task Aware Multi-Task Learning for Speech to Text Tasks

Sathish Reddy Indurthi, Mohd Abbas Zaidi, Nikhil Kumar Lakumarapu, Beomseok Lee, Hyojung Han, Seokchan Ahn +3

ICASSP 2021accepted

In general, the direct Speech-to-text translation (ST) is jointly trained with Automatic Speech Recognition (ASR), and Machine Translation (MT) tasks. However, the issues with the current joint learning strategies inhibit the knowledge transfer across these tasks. We propose a task modulation networ…

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