5 papers
Physics-based phenomenological characterization of cross-modal bias in multimodal models
Hyeongmo Kim, Sohyun Kang, Yerin Choi +5
The term 'algorithmic fairness' is used to evaluate whether AI models operate fairly in both comparative (where fairness is understood as formal equality, such as "treat like cases…
FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance
Hyunsuk Chung, Soyeon Caren Han, Seungyeon Ji +3
Multimodal foundation models integrate heterogeneous signals across modalities, yet it remains unclear whether their predictions can be controlled by explicitly modulating reliance…
Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech
Yerin Choi, Jeehyun Lee, Myoung-Wan Koo
Due to the subjective nature of current clinical evaluation, the need for automatic severity evaluation in dysarthric speech has emerged. DNN models outperform ML models but lack u…
Inappropriate Pause Detection In Dysarthric Speech Using Large-Scale Speech Recognition
Jeehyun Lee, Yerin Choi, Tae-Jin Song +1
Dysarthria, a common issue among stroke patients, severely impacts speech intelligibility. Inappropriate pauses are crucial indicators in severity assessment and speech-language th…
DC CoMix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer
Yerin Choi, Myoung-Wan Koo
Despite the huge successes made in neutral TTS, content-leakage remains a challenge. In this paper, we propose a new input representation and simple architecture to achieve improve…