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Väyrynen P, Peltola J & Seppänen T (2000)
Enhancing phoneme recogniser performance with a simple rule-based language model.
Proc. STeP 2000 - Finnish Artificial Intelligence Days, Espoo, Finland, 171 - 178.
The phoneme classification inaccuracy at the acoustic phonetic level is a major weakness in most speech recognition systems. However, the inaccuracy will violate phonotactic constraints at the acoustic phonetic level. A better performance is expected if a language model is adopted in a recognition system for post-processing phoneme estimates and making corrections with a set of explicit rules of the language used. We developed a simple language model with a set of rules to correct phoneme classification errors made by a Hidden Markov Model based phoneme recognizer. The experimental results indicate that about 20% of recognition errors can be corrected.