A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model
In this paper, we propose to utilise diffusion models for data augmentation in speech emotion recognition (SER).In particular, we present an effective approach to utilise improved denoising diffusion probabilistic models (IDDPM) to generate synthetic emotional data.We condition the IDDPM with the textual embedding from bidirectional encoder representations from transformers (BERT) …