Grapheme based speech recognition
Mirjam Killer, Sebastian Stüker, Tanja Schultz · 2003
Large vocabulary speech recognition systems traditionally represent words in terms of smaller subword units. During training and recognition they require a mapping table, called the dictionary, which maps words into sequences of these subword units. The performance of the speech recognition system depends critically on the definition of the subword units and the accuracy of the dictionary. In current large vocabulary speech recognition systems these components are often designed manually with the help of a language expert. This is time consuming and costly. In this Diplomarbeit graphemes are taken as subword units and the dictionary creation becomes a triviality.