Tomoko Matsui

Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data

2021 · arXiv (Cornell University)

As with the advancement of geographical information systems, non-Gaussian spatial data sets are getting larger and more diverse. This study develops a general framework for fast and flexible non-Gaussian regression, especially for spatial/spatiotemporal modeling. The …

Machine Learning Mitigants for Speech Based Cyber Risk

2021 · IEEE Access

Statistical analysis of speech is an emerging area of machine learning. In this paper, we tackle the biometric challenge of Automatic Speaker Verification (ASV) of differentiating between samples generated by two distinct populations of utterances, …