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Showing results for ivan dyadic
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Mutual Correlation Attentive Factors in Dyadic Fusion Networks for Speech Emotion Recognition.
Gu Y, Lyu X, Sun W, Li W, Chen S, Li X, Ivan M. Gu Y, et al. Proc ACM Int Conf Multimed. 2019 Oct;2019:157-166. doi: 10.1145/3343031.3351039. Proc ACM Int Conf Multimed. 2019. PMID: 32201866 Free PMC article.
Emotion recognition in dyadic communication is challenging because: 1. Extracting informative modality-specific representations requires disparate feature extractor designs due to the heterogenous input data formats. 2. How to effectively and efficiently fuse unimodal feat …
Emotion recognition in dyadic communication is challenging because: 1. Extracting informative modality-specific representations requi …
Musical dynamics in early triadic interactions: a case study.
Alessandroni N, Moreno-Núñez A, Rodríguez C, Del Olmo MJ. Alessandroni N, et al. Psychol Res. 2020 Sep;84(6):1555-1571. doi: 10.1007/s00426-019-01168-4. Epub 2019 Mar 16. Psychol Res. 2020. PMID: 30879143
Communicative musicality studies described musical organisations in dyadic interactions (adult-baby). However, other perspectives proposed that, from the beginning of life, there are early triadic interactions (adult-object-baby) that should also be analysed. ...
Communicative musicality studies described musical organisations in dyadic interactions (adult-baby). However, other perspectives pro …