Christoph Janott - Publications

Possible predictors of apneic-events during sleep: advanced snoring sound analysis.

Journal: Sleep & breathing = Schlaf & Atmung

Published: May 12, 2025

Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review.

Journal: IEEE journal of biomedical and health informatics

Published: August 06, 2020

Snoring - An Acoustic Definition.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: January 18, 2020

VOTE versus ACLTE: comparison of two snoring noise classifications using machine learning methods

Journal: HNO

Published: June 14, 2019

Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data.

Journal: IEEE journal of biomedical and health informatics

Published: April 05, 2019

A Bag of Wavelet Features for Snore Sound Classification.

Journal: Annals of biomedical engineering

Published: June 18, 2018

Snoring classified: The Munich-Passau Snore Sound Corpus.

Journal: Computers in biology and medicine

Published: November 12, 2017

Snore sound recognition: On wavelets and classifiers from deep nets to kernels.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: October 25, 2017

Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis.

Journal: IEEE transactions on bio-medical engineering

Published: January 24, 2017

Acoustic information in snoring noises

Journal: HNO

Published: January 22, 2017