A5080891388- Speech and Audio Processing
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Hearing Loss and Rehabilitation
- Computational and Text Analysis Methods
- Sentiment Analysis and Opinion Mining
- Music and Audio Processing
- Music Technology and Sound Studies
Soonchunhyang University
2025
Handong Global University
2023
Hearing loss significantly impacts daily communication, making accurate speech audiometry (SA) assessment essential for diagnosis and treatment. However, SA testing is time-consuming resource-intensive, limiting its accessibility in clinical practice. This study aimed to develop a multi-class classification model that predicts results using pure-tone (PTA) data, enabling more efficient automated assessment. To achieve this, we implemented compared MLP, RNN, gradient boosting, XGBoost models,...
We propose a multi-singer emotional singing voice synthesizer, Muse-SVS, that expresses emotion at various intensity levels by controlling subtle changes in pitch, energy, and phoneme duration while accurately following the score. To control multiple style attributes avoiding loss of fidelity expressiveness due to interference between attributes, Muse-SVS represents all their relations together joint embedding unified space. can express not included training data through interpolation...