Automatic model construction for a user oriented task using speech utterances

We propose a method to self-organize a user model for realizing a text search system. The method self-organizes a model from phoneme sequences and their texts using 6 basic rules. An inference method associated with the self-organized model searches texts corresponding to inputted phoneme sequences. Experiments using 50 voice waveforms of 10 speakers show that the self-organized model is useful to realize a text search system and is robust for noisy speech utterances.