Shahin Amiriparian
Wissenschaftlicher Mitarbeiter
Has participated in:
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Guest editorial: special issue on affective speech and language synthesis, generation, and conversion
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Validation of machine learning-based assessment of major depressive disorder from paralinguistic speech characteristics in routine care
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DeepSpectrumLite: a power-efficient transfer learning framework for embedded speech and audio processing from decentralised data
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Zero-shot personalization of speech foundation models for depressed mood monitoring