Invariant integration features combined with speaker-adaptation methods

Speaker-normalization and -adaptation methods are essential components of state-of-the-art speech recognition systems nowadays. Recently, so-called invariant integration features were presented which are motivated by the theory of invariants. While it was shown that the integration features outperform MFCCs when used with a basic monophone recognition system, it was left open, if their benefits still can be observed when a more sophisticated recognition system with speaker-normalization and/or speaker-adaptation components is used. This work investigates the combination of the integration features with standard speaker-normalization and -adaptation methods. We show that the integration features benefit from adaptation methods and significantly outperform MFCCs in matching, as well as in mismatching training-test conditions.

• Type: Journal
• Year: 2010
• Where: INTERSPEECH
• Authors: Florian Müller, Alfred Mertins
• Keywords: -adaptation Methods, Basic Monophone Recognition, INTERSPEECH 2010, Signal Processing, State-of-the-art Speech Recognition