@inproceedings{6c5e0175c2184f4cbba1a83a17860873,
title = "Robust speaker verification using GFCC based i-vectors",
abstract = "This paper presents to ameliorate the performance of text-independent speaker recognition system in a noisy environment and cross-channel recordings of the utterances. In this paper presents the combination of Gammatone Frequency Cepstral Coefficients (GFCC) to handle noisy environment with i-vectors to handle the session variability. Experiments are evaluated on NIST-2003 database.",
author = "Medikonda Jeevan and Atul Dhingra and M. Hanmandlu and Panigrahi, {B. K.}",
note = "Funding Information: The present study is a part of ongoing project on “Personal Authentication using Multimodal Behavioural Biometrics: Voice and Gait” and the authors express their gratitude to the Department of Science & Technology, Govt. Of India for funding the project. Publisher Copyright: {\textcopyright} Springer India 2017.; International Conference on Signal, Networks, Computing, and Systems, ICSNCS 2016 ; Conference date: 25-02-2016 Through 27-02-2016",
year = "2017",
doi = "10.1007/978-81-322-3592-7_9",
language = "English",
isbn = "9788132235903",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "85--91",
editor = "Lobiyal, {Daya K.} and Mohapatra, {Durga Prasad} and Sahoo, {Manmath N.} and Atulya Nagar",
booktitle = "Proceedings of the International Conference on Signal, Networks, Computing, and Systems, ICSNCS 2016",
address = "Germany",
}