- Photina Jaeyun Jang, Alexander Hauptmann. 1999. Selection for acoustic coverage from unlimited speech extracted from closed-captioned TV. Abstract: Given unlimited amounts of speech training data, it is desirable to predict informative subsets that will still improve the resulting acoustic model. We present a triphone frequency threshold measure for predicting informative subsets from vast amounts of speech. Results with single pass decoding show that acoustic models built from our selection-based speech set perform better than when trained on similar amounts of non-selected speech, and perform similar to models built from the original, larger amount of speech.
