A multi-delay sinc network jointly aligns speech signals with delayed continuous emotion labels and predicts arousal/valence, claiming state-of-the-art speech-only results on RECOLA and SEWA.
Capturing long-term temporal dependencies with con- volutional networks for continuous emotion recognition
2 Pith papers cite this work. Polarity classification is still indexing.
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CNNs trained on cochlear filter-bank features deliver measurable gains in envelope coefficient measure over baselines for cochlear implant speech enhancement, with the causal Wiener-style variant performing best.
citing papers explorer
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Jointly Aligning and Predicting Continuous Emotion Annotations
A multi-delay sinc network jointly aligns speech signals with delayed continuous emotion labels and predicts arousal/valence, claiming state-of-the-art speech-only results on RECOLA and SEWA.
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Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients
CNNs trained on cochlear filter-bank features deliver measurable gains in envelope coefficient measure over baselines for cochlear implant speech enhancement, with the causal Wiener-style variant performing best.