@InProceedings{Müller2011_37,
author = {Florian Müller and Alfred Mertins},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2011.},
title = {Robust continuous speech recognition through combination of invariant-feature based systems},
year = {2011},
editor = {Bernd J. Kröger and Peter Birkholz},
month = mar,
pages = {229--236},
publisher = {TUDpress, Dresden},
abstract = {In the recent years, different types of invariant features have been proposed
which promise to improve the robustness of speech recognition systems in
mismatching training-test conditions with respect to the mean vocal tract lengths.
Many state-of-the-art systems make use of system combination. By considering
speech recognition systems with different front ends, this paper investigates whether
the system combination of standard-feature and invariant-feature based systems
with ROVER yields improvements in accuracy. Results show that the combination
of the considered systems leads to clear accuracy improvements. An error
analysis also shows that the considered invariant features carry different types of
information than the standard ones. The performance achieved with our system
combination is in the range of what the best systems achieve in literature, although
our approach does not yet include discriminative training or heteroscedastic feature
transformation.},
isbn = {978-3-942710-37-4},
issn = {0940-6832},
keywords = {Poster zu verschiedenen Themenbereichen},
url = {https://www.essv.de/pdf/2011_229_236.pdf},
}