Search Results - "Kujawski, Adam"

MIRACLE—a microphone array impulse response dataset for acoustic learning.

Authors: Kujawski, Adam Pelling, Art J. R. Sarradj, Ennes

Source: EURASIP Journal on Audio Speech & Music Processing; 6/18/2024, Vol. 2024 Issue 1, p1-16, 16p

A framework for generating large-scale microphone array data for machine learning.

Authors: Kujawski, Adam Pelling, Art J. R. Jekosch, Simon et al.

Source: Multimedia Tools & Applications; Mar2024, Vol. 83 Issue 11, p31211-31231, 21p

Fast grid-free strength mapping of multiple sound sources from microphone array data using a Transformer architecture.

Authors: Kujawski, Adam Sarradj, Ennes

Source: Journal of the Acoustical Society of America; Nov2022, Vol. 152 Issue 5, p2543-2556, 14p

A deep learning method for grid-free localization and quantification of sound sources.

Authors: Kujawski, Adam Herold, Gert Sarradj, Ennes

Source: Journal of the Acoustical Society of America; Sep2019, Vol. 146 Issue 3, pEL225-EL231, 7p

Posters.

Source: Colorectal disease: the official journal of the Association of Coloproctology of Great Britain and Ireland Oct2007 Supplement 3; Vol. 9.

Journal Info: Publisher: Wiley-Blackwell ISSN: 1462-8910

Abstracts of the Second Annual Meeting of the European Society of Coloproctology. September 26-29, 2007. Portomaso, Malta.

Source: Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland [Colorectal Dis] 2007 Oct; Vol. 9 Suppl 3, pp. 1-60.

Publication Type: Conference Proceedings; Overall

Journal Info: Publisher: Blackwell Science Ltd Country of Publication: England NLM ID: 100883611 Publication Model: Print Cited Medium: Internet ISSN: 1463-1318 (Electronic) Linking ISSN: 14628910 NLM ISO Abbreviation: Colorectal Dis Subsets: MEDLINE