Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aarti Bakshi"'
Autor:
Rajiv Iyer, Aarti Bakshi
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811984761
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::043282b206b73246ae148943838d8762
https://doi.org/10.1007/978-981-19-8477-8_18
https://doi.org/10.1007/978-981-19-8477-8_18
Autor:
Aarti Bakshi, Sunil Kumar Kopparapu
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 10:1114-1121
Gaussian mixture model-universal background model (GMM UBM) supervectors are used to identify spoken Indian languages. The supervectors are calculated from short-time MFCC, its first and sec derivatives. The UBM builds a generalized Indian language m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2940aacc03d691d7fc4e19aed6646953
https://doi.org/10.11591/eei.v10i2.2861
https://doi.org/10.11591/eei.v10i2.2861
Autor:
Aarti Bakshi, Sunil Kumar Kopparapu
In spoken language identification (SLID) systems, the test data may be of a sufficiently shorter duration than training data, known as duration mismatch condition. Duration normalized features are used to identify a spoken language for nine Indian la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::629127c85bab69b4762012237fe15071
https://zenodo.org/record/5533224
https://zenodo.org/record/5533224
Autor:
Aarti Bakshi, Sunil Kumar Kopparapu
Publikováno v:
SN Computer Science. 2
Paper presents novel duration normalized feature selection technique and two-step modified hierarchical classifier to improve the accuracy of spoken language identification (SLID) using Indian languages for duration mismatched condition. Feature sele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::361793845687334fc3f7c8fb8e6d33ca
https://doi.org/10.1007/s42979-021-00750-1
https://doi.org/10.1007/s42979-021-00750-1
Autor:
Aarti Bakshi, Sunil Kumar Kopparapu
Publikováno v:
2019 IEEE Bombay Section Signature Conference (IBSSC).
Indian languages are phonetic in nature; phonetics is branch of linguistics which studies the structure of human language sound. Acoustic phonetic features associated with languages play an important role in spoken language identification. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84515c8ad4ff07a6efd31fee6ac4fff3
https://doi.org/10.1109/ibssc47189.2019.8972979
https://doi.org/10.1109/ibssc47189.2019.8972979
Publikováno v:
2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).
Thereare many techniques available for the precision agriculture to monitor and control, environment for the growth of many crops. Due to unequal distribution of rain water, it is very difficult to requirement needed farmer to manage the water equall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a807208b198686cc5339e68487bf40aa
https://doi.org/10.1109/rteict.2016.7807821
https://doi.org/10.1109/rteict.2016.7807821
Publikováno v:
2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence).
Speech is one of the most popular parameter used to identify a speaker by her spoken phrase. Feature extraction from speech is a necessary first step in a speaker identification process. Traditionally computation of the Mel Frequency Cepstral Coeffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5319cb14d9b0c9687d8f48467c89e881
https://doi.org/10.1109/confluence.2014.6949342
https://doi.org/10.1109/confluence.2014.6949342
Autor:
AARTI, BAKSHI1 artigauri@yahoo.com, KOPPARAPU, SUNIL KUMAR2 SunilKumar.Kopparapu@TCS.Com
Publikováno v:
Sādhanā: Academy Proceedings in Engineering Sciences. Apr2018, Vol. 43 Issue 4, p1-1. 1p.