Automatic Recognition of Spontaneous Speech Dialogues

Some approaches for coping with the problem of recognition of spontaneous speech dialogues are presented. Starting from a HMM-based system, developed for dictation tasks, some modifications are introduced at the acoustic level and in the language model. Acoustic model parameters are modified to account for speaking rate variations, and specific models of extra-linguistic phenomena are defined and added to the language model. Different acoustic models are managed by a single recognizer through their integration into a multi-model search space. Experiments and evaluations were conducted on a spontaneous dialogue courpus collected at our laboratory