Abstract
A digital filter interpolation of decoded line spectral frequencies (LSFs) that significantly outperforms linear interpolation for large vocabulary distributed continuous speech recognition systems is presented. Experiments were conducted using linear predictive coding (LPC) and LSF-derived speech recognition features, CDHMM acoustic models, triphone units and trigram language models for Brazilian Portuguese.
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