Automatic speech summarization for English broadcast news speech

摘要

This paper reports an automatic speech summarization method and experimental results using English broadcast news speech. In our proposed method, a set of words maximizing a summarization score consisting of word significance measure, linguistic likelihood, confidence measure and SDCFG (stochastic dependency context free grammar) is extracted from automatically transcribed speech. This extraction is performed using a Dynamic Programming (DP) technique according to a target compression ratio (summarization ratio). In order to apply our method to English, the model of estimating word concatenation probabilities based on a dependency structure in the original speech given by a Stochastic Dependency Context Free Grammar (SDCFG) is modified. In order to reduce the amount of computation, a summarization method for multiple utterances using two-level DP technique is also proposed.