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Class-Level Spectral Features for Emotion Recognition
The most common approaches to automatic emotion recognition rely on utterance level prosodic features. Recent studies have shown that utterance level statistics of segmental spectral features also contain rich information about expressivity and emotion. In our work we introduce a more fine-grained y...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3686526/ https://ncbi.nlm.nih.gov/pubmed/23794771 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.specom.2010.02.010 |
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