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We proposed a novel method for Chinese Mandarin speech indexing on the basis of confusion network in this paper. Chinese Mandarin is a tonal language which has 5 basic tones including neutral tone. The method utilized this characteristic of Chinese to model tone. Firstly, we obtained a tonal syllable confusion network (CN) through a conversion after an introduction of traditional lattice. Subsequently,...
Speech endpoint detection in strong noise environment plays an important role in speech signal processing. Hilbert-Huang Transform (HHT) is based on the local characteristics of signals, which is an adaptive and efficient transformation method. It is particularly suitable for analyzing the non-linear and non-stationary signals such as speech signal. In this paper, we chose the noisy speech signal...
Nowadays rapid and accurate speech retrieval techniques based on semantics are desired for the overwhelming amounts of speech data. In this paper we mainly study a converted lattice-based approach for Chinese spontaneous speech retrieval. A new confidence measure method is proposed based on context mutual information. In our knowledge, it is firstly used in a lattice construction for speech indexing...
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