Domain specific audio indexing using linguistic information

Abstract

In this paper a novel methodology for indexing domain specific audio archives using linguistic information present in the speech signal is discussed. The audio indexing system is phone based and can work under limited training data conditions. A training data set that captures the linguistic information within Hindi language at the syllable level is first developed. A reduced phone set is then derived from the super syllabic set of the Hindi language. The system is then bootstrapped at the phone level with domain specific data. The audio indexing itself is then performed using a novel sliding phone protocol technique. The performance of such a audio indexing system is then evaluated for Indian parliament speech and read news. The proposed bootstrapping method with sliding phone search provides reasonable improvements in phone recognition accuracy and in terms of search retrieval efficiency when compared to conventional methods.