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A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech

In this study we propose a new feature extraction algorithm, dNMF (discriminant non-negative matrix factorization), to learn subtle class-related differences while maintaining an accurate generative capability. In addition to the minimum representation error for the standard NMF (non-negative matrix...

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Bibliografski detalji
Glavni autori: Lee, Soo-Young, Song, Hyun-Ah, Amari, Shun-ichi
Format: Artigo
Jezik:Inglês
Izdano: Springer Netherlands 2012
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3495075/
https://ncbi.nlm.nih.gov/pubmed/24294336
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-012-9213-1
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