Spoken Indian language identification: a review of features and databases

被引：0
作者：
BAKSHI AARTI
SUNIL KUMAR KOPPARAPU
机构：
[1] UMIT,Department of Electronics and Communication
[2] SNDT University,TCS Innovation Labs
[3] TATA Consultancy Services, Mumbai
来源：
Sādhanā | 2018年 / 43卷
关键词：
SLID; phonetic; characteristics; features;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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  • [1] Ambikairajah E(2013)Language identification: a tutorial IEEE Circuits Syst. Mag. 11 82-108
  • [2] Li H(2013)Spoken language recognition: from fundamentals to practice Proc. IEEE 5 1136-1159
  • [3] Wang L(2014)Phonetic dictionary for natural language processing: Kannada Int. J. Eng. Res. Appl. 4 01-04
  • [4] Yin B(2011)Salient phonetic features of Indian languages in speech technology Sadhana 36 587-599
  • [5] Sethu V(2011)Phonotactic model for spoken language identification in Indian language perspective Int. J. Comput. Appl. 19 18-24
  • [6] Li H(1999)Acoustic-phonetic approach toward understanding neural processes and speech perception J. Am. Acad. Audiol. 10 304-318
  • [7] Ma B(2012)A review on acoustic phonetic approach for Marathi speech recognition Int. J. Comput. Appl. 59 40-44
  • [8] Lee KA(2012)Contrastive breathiness across consonants and vowels: a comparative study of Gujarati and White Hmong J. Int. Phon. Assoc. 42 123-143
  • [9] Reddy MV(1999)Voice onset times and burst frequencies of four velar stop consonants in Gujarati J. Acoust. Soc. Am. 106 3736-3738
  • [10] Hanumanthappa M(2012)Development of application specific continuous speech recognition system in hindi J. Signal Inf. Process. 3 394-76
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