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Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model
With fewer feature dimensions, filter banks are often used in light-weight full-band speech enhancement models.
Personalized speech enhancement combining band-split RNN and speaker attentive module
Target speaker information can be utilized in speech enhancement (SE) models to more effectively extract the desired speech.
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models
The advanced spectral and spatial specification of the recently launched DESIS (the DLR Earth Sensing Imaging Spectrometer) instrument provides a unique opportunity to test the potential for monitoring plant species diversity with spaceborne hyperspectral data.
Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia
Though remote sensing has been seen as a promising and cost-effective proxy for estimating plant diversity, there is a lack of quantitative studies on how confidently plant diversity can be inferred from spaceborne hyperspectral data.
Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification
In this study, a SVM-based Sequential Classifier Training (SCT-SVM) approach is proposed for multitemporal remote sensing image classification.
