David Klusáček

Main Research Interests

Speech recognition (mainly the acoustic front-end), speaker identification, digital signal processing, functional and logic programming, compilation and optimization techniques, formal program verification, mathematical logic, automated theorem proving, knowledge representation, computational neuroscience and neuroanatomy.

Curriculum Vitae

Education
1991--1995 Electronics secondary school V uzlabine 320, Praha 10. Finished with the highest honors.
1995--2003 Computer Science at the Faculty of Mathematics and Physics, Charles University Prague (MFF-UK). Defended diploma thesis {\sl ``Supercompilation''} and graduated with the highest honors. Master degree.
2003--2012 PhD studies at MFF-UK (UFAL department). Defended doctoral thesis {\sl ``New Methods in Statistical Speech Recognition''}.
Stays 2002 Participated at the WS'02 Johns Hopkins University summer workshop in the {\it ``SuperSID''} group.
2004 Co-op/Intern at IBM T.J. Watson Research Center in Yorktown Heights, New York, doing research concerning speaker detection.
Awards
1995 The first prize in national competition of high-school scientific projects in categories {\sl mathematics} (for the theory and implementation of the Fast Hartley Transform) and {\sl electronics} (for the design and manufacturing of PC-compatible sound card).
1996 Czech Ministry of Education Award ``Mathematical Talent 1995'' for the work {\it ``Fast Hartley Transform''}.
2002 One-year research funding won at the end of the JHU workshop (out of 9 competitors) for {\it ``Pronunciation Model''\/}-based speaker detection.

Teaching

List of classes

• NPFL109 Digital Sound Processing

Selected Bibliography

• Google Scholar
• ORCID: 0000-0002-0144-2092
• Scopus ID: 56242670000
• Researcher ID: N-8789-2017

Klusacek David: mmi_clustering. Data/software, UFAL https://ufal.mff.cuni.cz/tools/mmic

Navratil Jiri, Klusacek David: On Linear DETs. In: it Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference}, Copyright Institute of Electrical and Electronics Engineers (IEEE), Honolulu, HI, USA, ISBN 1-4244-0728-1, ISSN 1520-6149, pp. 229-232, 2007

Klusacek David: Optimal Detection in Case of the Sparse Training Data. In: Proceedings of ODYSSEY04, pp. 97--104, 2004

D. Reynolds, W. Andrews, J. Campbell, J. Navrðtil, D. Klusðñek, B. Peskin, A. Adami, Q. Jin, J. Abramson, R. Michaesku, J. Godfrey and B. Xiang: The SuperSID Project: Exploiting High-level Information for High-accuracy Speaker Recognition. In: Proceedings of ICASSP 2003

D. Klusacek, J. Navratil, D. Reynolds, J. Campbell: Conditional Pronunciation Modeling in Speaker Detection. In: Proceedings of ICASSP 2003