3 papers
eess.AS2026
Contrastive Learning with Variational Regularization for Multi-Session EEG-to-Speech Decoding
Tomoaki Mizuno, Toru Nakashika
Reconstructing heard speech from non-invasive electroencephalography (EEG) is challenging due to a low signal-to-noise ratio (SNR) and inter-session variability. While trial averag…
cs.LG2026
PolarBM: Complex-valued Boltzmann Machine for Modeling Audio Signals in Polar and Log-polar Coordinates
Toru Nakashika, Kohei Yatabe
Although vast amounts of data, such as audio signal spectra, are naturally represented using complex numbers, conventional machine learning methods often simplify complex-domain pr…
stat.ML2026
A Power-Weighted Noncentral Complex Gaussian Distribution
Toru Nakashika
The complex Gaussian distribution has been widely used as a fundamental spectral and noise model in signal processing and communication. However, its Gaussian structure often limit…