Speech labeling and the most frequent phrase extraction using same section in a presentation speech

This paper discusses the possibility of speech labeling by utilizing same sections, such as the same words or same phrases that are repeated in a speech. The same sections are checked and detected in a presentation speech. For this purpose, a new efficient algorithm has been proposed, called Shift Continuous DP, because it is an extension of Continuous DP (CDP). Shift CDP realizes fast matching between arbitrary sections in the reference pattern and the input speech and enables extracting similar sections frame-synchronously. This algorithm is extended and applied to extract the repeated sections in a presentation speech and to identify the most frequent phrase in the talk. Experiments were conducted for presentation speech and the results showed Shift CDP was successful in detecting similar sections and identifying the most frequent phrase in the presentation.

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