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20172024
most citedDawn of the transformer era in speech emotion recognition: closing the valence gap

348 citations · 384 across the 8 of their papers we have counts for

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cs.SD2024★ 1 cited

Wav2Small: Distilling Wav2Vec2 to 72K parameters for Low-Resource Speech emotion recognition

Dionyssos Kounadis-Bastian, Oliver Schrüfer, Anna Derington +4

Speech Emotion Recognition (SER) needs high computational resources to overcome the challenge of substantial annotator disagreement. Today SER is shifting towards dimensional annot…