Odyssey 2010: The Speaker and Language Recognition Workshop
Brno, Czech Republic
Phonotactic language recognition is one of major techniques used for automatic recognition of spoken languages. We propose a feature extraction technique based on PCA to be used with SVM-based systems. This technique improves speed of the training, in some cases more than 1000 times, allowing systems to be effectively trained on much larger data sets. Speed-up of the test phase can be even greater, which makes the resulting systems much more useful for processing large amounts of data. We report our results on NIST LRE 2009 task.
Full Paper (PDF)
Bibliographic reference. Mikolov, Tomás / Plchot, Oldrich / Glembek, Ondrej / Burget, Lukás / Cernocký, Jan (2010): "PCA-based Feature Extraction for Phonotactic Language Recognition", In Odyssey-2010, paper 042.