Computer-assisted disfluency counts for stuttered speech

We present computer tools to help speech-language pathologists (SLP) in counting disfluencies, for both real-time and transcriptbased counts. The latter tend to be more precise and show which words are involved in each disfluency. Our approach allows real-time counts to be used as the basis for transcript-based counts. We employ automatic speech recognition to generate a word transcript (for read-speech samples), and then automatically merge the disfluency annotations with the word transcript, and have the SLP review parts of the audio file where a disfluency annotation was placed. This approach results in improved disfluency annotations, and can be done in 3 times real-time.