Abstract
This paper proposes a method to detect self-repairs strings included in spontaneous speech, by using n-gram model and Markov models of syllable chains. This method is comprised of the following two steps: The first is to detect the candidates for selfrepair strings using n-gram models. The second is to evaluate the values of Markov chain probability of a sentence in which the candidates of self-repair strings are included. This method is applied to detect self-repair strings in ATR dialogue corpus. From the experiment, it is confirmed that the method is effective to detect self-repair strings inserted in an arbitrary positions of sentences.
