3 accepted papers
Precision livestock farming (PLF) has been transformed by machine learning (ML), enabling more precise and timely interventions that enhance overall farm productivity, animal welfare, and environmental sustainability. However, despite the availability of various sensing technologies, few datasets le…
In this paper, we introduce a discriminative training algorithm of the non-negative matrix factorization (NMF) model for single-channel enhancement of convolutive noisy speech. The basis vectors for the clean speech and noises are estimated simultaneously during the training stage by incorporating t…
In this paper, we propose a basis compensation algorithm for non-negative matrix factorization (NMF) models as applied to supervised single-channel speech enhancement. In the proposed framework, we use extra free basis vectors for both the clean speech and noise during the enhancement stage in order…