Abstract
This chapter describes the proposed methods to extract parametric features at sub-segmental, segmental and supra-segmental levels to capture the language-specific excitation source information. In this work, glottal pulse, spectral and epoch parameters are used for representing sub-segmental, segmental and supra-segmental information present in excitation source signal. Further, these individual features are combined at score level to enhance the accuracy of LID systems by exploiting the non-overlapping information present among the features.
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Rao, K.S., Nandi, D. (2015). Parametric Excitation Source Features for Language Identification. In: Language Identification Using Excitation Source Features. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-17725-0_4
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DOI: https://doi.org/10.1007/978-3-319-17725-0_4
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