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S & M - Der Zwiespalt
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Speech recognition technology is being increasingly employed in human-machine
interfaces. A remaining problem however is the robustness of this technology
to non-native accents, which still cause considerable difficulties for
current systems.In this book, methods to overcome this problem are described.
A speaker adaptation algorithm that is capable of adapting to the current
speaker with just a few words of speaker-specific data based on the MLLR
principle is developed and combined with confidence measures that focus
on phone durations as well as on acoustic features. Furthermore, a specific
pronunciation modelling technique that allows the automatic derivation
of non-native pronunciations without using non-native data is described
and combined with the previous techniques to produce a robust adaptation
to non-native accents in an automatic speech recognition system.
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