Spoken Indian language identification: a review of features and databases

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 t...

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Bibliographic Details
Published in:Sadhana (Bangalore) 2018-04, Vol.43 (4), p.1-14, Article 53
Main Authors: AARTI, BAKSHI, KOPPARAPU, SUNIL KUMAR
Format: Article
Language:English
Subjects:
Acoustic phonetics
Engineering
Human-computer interaction
Language
Language identification
Language processing
Linguistics
Natural language processing
Prosody
Spoken language
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Summary: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.
ISSN:0256-2499
0973-7677
DOI:10.1007/s12046-018-0841-y