Abstract
This chapter introduces multilingual Indian language speech corpus consisting of 27 regional Indian languages for analyzing the language identification (LID) performance. Speaker-dependent and independent language models are also discussed in view of LID. Spectral features extracted from conventional block processing, pitch synchronous analysis, and glottal closure regions are examined for discriminating the languages.
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Rao, K.S., Reddy, V.R., Maity, S. (2015). Language Identification Using Spectral Features. In: Language Identification Using Spectral and Prosodic Features. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-17163-0_3
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DOI: https://doi.org/10.1007/978-3-319-17163-0_3
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