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- W2797791803 abstract "Spoken language is one of the distinctive characteristics of the human race. Spoken language processing is a branch of computer science that plays an important role in human–computer interaction (HCI), which has made remarkable advancement in the last two decades. This paper reviews and summarizes the acoustic, phonetic and prosody features that have been used for spoken language identification specifically for Indian languages. In addition, we also review the speech databases, which are already available for Indian languages and can be used for the purposes of spoken language identification." @default.
- W2797791803 created "2018-04-24" @default.
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- W2797791803 date "2018-04-01" @default.
- W2797791803 modified "2023-10-16" @default.
- W2797791803 title "Spoken Indian language identification: a review of features and databases" @default.
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- W2797791803 doi "https://doi.org/10.1007/s12046-018-0841-y" @default.
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