A New Phonetic Model for Continuous Speech Recognition Systems

The main goal of this work is to describe a new model for a large vocabulary continuous speech recognition system using a phonetic-phonological approach. This work proposes a statistical phonetic structure, applied at the phoneticphonological level, to improve the speech recognition performance in systems with phonetic-phonological modeling. It is showed that the general likelihood scores are increased, indicating better recognition performances. This is due to the fact that the statistical phonetic structure will lead to enhance some frequent phonetic combinations from the language itself. Such structure should be considered as an additional knowledge base, containing information about the real language phonetic structure. Also this new phoneticphonological approach should be strongly recommended to use in spontaneous speech recognition systems.