Frame Selection for Text-independent Speaker Recognition

Abedenebi Rouigueb; Malek Nadil; Abderrahmane Tikourt

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Frame Selection for Text-independent Speaker Recognition

Topics: Biometrics and Pattern Recognition; Multimodal Signal Processing

In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 0ICETE, 51-57, 2017 , Madrid, Spain

Authors: Abedenebi Rouigueb ; Malek Nadil and Abderrahmane Tikourt

Affiliation: Ecole Militaire Polytechnique, Algeria

Keyword(s): Frame Selection, Frame Pruning, Speaker Identification, Speaker Recognition, Text-independent.

Related Ontology Subjects/Areas/Topics: Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Multimodal Signal Processing ; Telecommunications

Abstract: In this paper, we propose a set of criteria for the selection of the most relevant frames in order to improve text-independent speaker automatic recognition (TISAR) task. The selection is carried out on the short term Cepstral feature vectors such as PLP and MFCC and performed at the front end processing level. The proposed criteria mainly attempt to select vectors lying far from the universal background model (UBM). Experiments are conducted on the MOBIO database and show that the selection allows an improvement in complexity (time and space) and in speaker identification rate, which is appropriate for real-time TISAR systems.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.191.181.231

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Rouigueb, A.; Nadil, M. and Tikourt, A. (2017). Frame Selection for Text-independent Speaker Recognition. In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - SIGMAP; ISBN 978-989-758-260-8; ISSN 2184-3236, SciTePress, pages 51-57. DOI: 10.5220/0006392100510057

@conference{sigmap17,
author={Abedenebi Rouigueb. and Malek Nadil. and Abderrahmane Tikourt.},
title={Frame Selection for Text-independent Speaker Recognition},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - SIGMAP},
year={2017},
pages={51-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006392100510057},
isbn={978-989-758-260-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - SIGMAP
TI - Frame Selection for Text-independent Speaker Recognition
SN - 978-989-758-260-8
IS - 2184-3236
AU - Rouigueb, A.
AU - Nadil, M.
AU - Tikourt, A.
PY - 2017
SP - 51
EP - 57
DO - 10.5220/0006392100510057
PB - SciTePress