Abstract
This chapter discusses about the combination of implicit and parametric features of excitation source to enhance the LID accuracy. Further, complementary nature of excitation source and vocal tract features is exploited for improving the LID accuracy. The robustness of proposed language-specific excitation source features is investigated on various noisy background environments.
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Rao, K.S., Nandi, D. (2015). Complementary and Robust Nature of 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_5
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DOI: https://doi.org/10.1007/978-3-319-17725-0_5
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