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Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations
This work investigates pretrained audio representations for few shot Sound Event Detection.
Pre-trained Model Representations and their Robustness against Noise for Speech Emotion Analysis
We investigated the use of pre-trained model representations for estimating dimensional emotions, such as activation, valence, and dominance, from speech.
Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation
We investigate the use of pre-trained model representations to improve valence estimation from acoustic speech signal.
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions
Emotion plays an essential role in human-to-human communication, enabling us to convey feelings such as happiness, frustration, and sincerity.
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