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Found 5 papers, 1 papers with code
On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification
Speech intelligibility can be affected by multiple factors, such as noisy environments, channel distortions or physiological issues.
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS dataset
Regarding the facial emotion recognizer, we extracted the Action Units of the videos and compared the performance between employing static models against sequential models.
Ranked #1 on
Emotion Recognition
on RAVDESS
(using extra training data)
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning
In this paper, we propose a multimodal emotion recognition system that relies on speech and facial information.
Ranked #3 on
Emotion Recognition
on RAVDESS
(using extra training data)
Continuous Expressive Speaking Styles Synthesis based on CVSM and MR-HMM
This paper introduces a continuous system capable of automatically producing the most adequate speaking style to synthesize a desired target text.
