Abstract
A group of junior and senior researchers gathered as a part of the 2014 Frederick Jelinek Memorial Workshop in Prague to address the problem of predicting the accuracy of a nonlinear Deep Neural Network probability estimator for unknown data in a different application domain from the domain in which the estimator was trained. The paper describes the problem and summarizes approaches that were taken by the group1.
Original language | English |
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Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5009-5013 |
Number of pages | 5 |
Volume | 2015-August |
ISBN (Print) | 9781467369978 |
DOIs | |
Publication status | Published - 2015 Aug 4 |
Event | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: 2014 Apr 19 → 2014 Apr 24 |
Other
Other | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 |
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Country | Australia |
City | Brisbane |
Period | 14/4/19 → 14/4/24 |
Keywords
- confidence estimation
- multistream recognition of speech
- Performance monitoring
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering