In this paper we present two experiments we carried out in order to test both utterance selection and utterance verification for our system using state-of-the-art techniques.
In our experiments, we use both utterance-based batch processing and full batch processing.
Although syllables were occasionally produced in discrete utterances, both pups and adults generally produced syllables in bouts that comprised several syllables.
The total number of utterances in both sessions under both talking conditions was 7200.
In this study we found that both mean F0 and F0-SD vary naturally in unmanipulated utterances, and that the two are moderately correlated.
The summarization of discussion content is performed as follows: Based on common visual referents in utterances included in discussion chunks, a graph structure is generated.
The conclusions presented in theory are confirmed in practice with utterances extracted from TIMIT speech corpus.
Each word is labeled as "spoken" in spoken training utterances or "written" in written ones.
Utterance-based systems, in which frequent utterances are organized in sets to improve the speed of communication exchange, are also in development.
