Enhancing vocal tract length normalization with elastic registration for automatic speech recognition
Florian Müller, Alfred Mertins · 2012
Vocal tract length normalization (VTLN) is commonly applied utterance-wise with a warping function that makes the assumption of a linear dependence between the vocal tract length and the location of the formants. In this work we propose a datadriven method for enhancing the performance of systems that already use standard VTLN. The method is based on elastic registration to estimate optimal non-parametric transformations to further reduce inter-speaker variabilities. Results show that the proposed method can increase the performance of monophone systems such that it reaches that of a triphone system. Index Terms: automatic speech recognition, vocal tract length normalization, elastic registration 1.