A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition

Best-performing speech models are trained on large amounts of data in the language they are meant to work for. However, most languages have sparse data, making training models challenging. This shortage of data is even more prevalent in speech emotion recognition. Our work explores the model's...

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Hauptverfasser:	Ion, David-Gabriel, Smădu, Răzvan-Alexandru, Cercel, Dumitru-Clementin, Pop, Florin, Cercel, Mihaela-Claudia
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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