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The audio stream is an important component of a sports video. In this paper, we present a system for audio segmentation and classification, which can segment and classify the sports audio stream into speech, non-speech very well. The novel point in our research is that we apply the segmentation and clustering method which is often used in speaker diarization system for broadcast news to the analysis...
From the results of the NIST speaker recognition evaluation in resent years, speaker recognition systems which are mainly developed based on English training data suffer the language gap problem, namely, the performance of non-English trails is much worse than that of English trails. This problem is addressed in this paper. Based on the conventional joint factor analysis model, we enrolled in the...
The negative effect of the session variability has become more and more severe for the performance of the speaker verification system. This paper discusses the eigenchannel compensation and investigates the symmetric scoring method to diminish the session variability and further enhance the performance. Experiments were conducted on the core tests of the 2006 and 2008 speaker recognition evaluation...
Text normalization is an important component in mandarin Text-to-Speech system. This paper develops a taxonomy of Non-Standard Words (NSW's) based on a Large-scale Chinese corpus and proposes a three-stage text normalization strategy: Finite State Automata (FSA) for initial classification, Maximum Entropy (ME) Classifier & Rules for further classification and General Rules for standard word conversion...
For concatenative speech synthesis based on non-uniform unit selection, the key to improve the synthetic quality is the careful designing of measuring criteria respect to the units adopted. With our previous hierarchical non-uniform unit selection framework (Xu et al., 2007), two measurements for selecting optimal non-uniform units during searching at different layers are proposed in this paper, including...
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