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Kenkichi Ishizuka

2 accepted papers

2024

Large Language Model-Based Emotional Speech Annotation Using Context and Acoustic Feature for Speech Emotion Recognition

ICASSP 2024accepted

The remarkable emergence of large language models (LLM) and their vast capabilities have opened a possibility for applications in various fields, including speech emotion recognition (SER). Despite the advancement of SER methods and the abundance of speech data, the requirement of having speech data…

Cited by 0SourceScholar
2022

Selective Multi-Task Learning For Speech Emotion Recognition Using Corpora Of Different Styles

ICASSP 2022accepted

While speech emotion recognition (SER) has been actively studied, the amount and variations of training data are limited compared with speech recognition and speaker recognition tasks. Therefore, it is promising to combine multiple corpora to train a generalized SER model. However, the manner of emo…

Cited by 0SourceScholar