Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation

Saeid Safavi; Iosif Mporas

doi:10.1109/iThings-GreenCom-CPSCom-SmartData.2017.59

Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation

Saeid Safavi, Iosif Mporas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper we present three methodologies for the fusion of different speaker verification modes of operation. Specifically, we investigate a knowledge-based (rule-based) method, based on biometrics and security knowledge, a data-driven method, based on machine learning fusion models and a combination of them. The experimental results indicate that the hybrid fusion architecture, which is the combination of knowledge-based and data-driven based fusion, offers both robustness against spoofing and improvement in speaker verification performance.

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
Editors	Geyong Min, Xiaolong Jin, Laurence T. Yang, Yulei Wu, Nektarios Georgalas, Ahmed Al-Dubi
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	354-359
Number of pages	6
ISBN (Electronic)	9781538630655
DOIs	https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.59
Publication status	Published - 30 Jan 2018
Event	Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017 - Exeter, United Kingdom Duration: 21 Jun 2017 → 23 Jun 2017

Publication series

Name	Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
Volume	2018-January

Conference

Conference	Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017
Country/Territory	United Kingdom
City	Exeter
Period	21/06/17 → 23/06/17

Keywords

data-driven
fusion
knowledge-based
machine learning
Speaker verification
spoofing

Access to Document

10.1109/iThings-GreenCom-CPSCom-SmartData.2017.59

Cite this

Safavi, S., & Mporas, I. (2018). Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation. In G. Min, X. Jin, L. T. Yang, Y. Wu, N. Georgalas, & A. Al-Dubi (Eds.), Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017 (pp. 354-359). (Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.59

Safavi, Saeid ; Mporas, Iosif. / Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation. Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017. editor / Geyong Min ; Xiaolong Jin ; Laurence T. Yang ; Yulei Wu ; Nektarios Georgalas ; Ahmed Al-Dubi. Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 354-359 (Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017).

@inproceedings{3e7c041dde1a444caed8f0556d71f3fb,

title = "Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation",

abstract = "In this paper we present three methodologies for the fusion of different speaker verification modes of operation. Specifically, we investigate a knowledge-based (rule-based) method, based on biometrics and security knowledge, a data-driven method, based on machine learning fusion models and a combination of them. The experimental results indicate that the hybrid fusion architecture, which is the combination of knowledge-based and data-driven based fusion, offers both robustness against spoofing and improvement in speaker verification performance.",

keywords = "data-driven, fusion, knowledge-based, machine learning, Speaker verification, spoofing",

author = "Saeid Safavi and Iosif Mporas",

year = "2018",

month = jan,

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doi = "10.1109/iThings-GreenCom-CPSCom-SmartData.2017.59",

language = "English",

series = "Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017",

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pages = "354--359",

editor = "Geyong Min and Xiaolong Jin and Yang, {Laurence T.} and Yulei Wu and Nektarios Georgalas and Ahmed Al-Dubi",

booktitle = "Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017",

address = "United States",

note = "Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017 ; Conference date: 21-06-2017 Through 23-06-2017",

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Safavi, S & Mporas, I 2018, Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation. in G Min, X Jin, LT Yang, Y Wu, N Georgalas & A Al-Dubi (eds), Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017. Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers (IEEE), pp. 354-359, Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017, Exeter, United Kingdom, 21/06/17. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.59

Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation. / Safavi, Saeid; Mporas, Iosif.
Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017. ed. / Geyong Min; Xiaolong Jin; Laurence T. Yang; Yulei Wu; Nektarios Georgalas; Ahmed Al-Dubi. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 354-359 (Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation

AU - Safavi, Saeid

AU - Mporas, Iosif

PY - 2018/1/30

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N2 - In this paper we present three methodologies for the fusion of different speaker verification modes of operation. Specifically, we investigate a knowledge-based (rule-based) method, based on biometrics and security knowledge, a data-driven method, based on machine learning fusion models and a combination of them. The experimental results indicate that the hybrid fusion architecture, which is the combination of knowledge-based and data-driven based fusion, offers both robustness against spoofing and improvement in speaker verification performance.

AB - In this paper we present three methodologies for the fusion of different speaker verification modes of operation. Specifically, we investigate a knowledge-based (rule-based) method, based on biometrics and security knowledge, a data-driven method, based on machine learning fusion models and a combination of them. The experimental results indicate that the hybrid fusion architecture, which is the combination of knowledge-based and data-driven based fusion, offers both robustness against spoofing and improvement in speaker verification performance.

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KW - Speaker verification

KW - spoofing

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M3 - Conference contribution

AN - SCOPUS:85047393078

T3 - Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017

SP - 354

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BT - Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017

A2 - Min, Geyong

A2 - Jin, Xiaolong

A2 - Yang, Laurence T.

A2 - Wu, Yulei

A2 - Georgalas, Nektarios

A2 - Al-Dubi, Ahmed

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017

Y2 - 21 June 2017 through 23 June 2017

ER -

Safavi S, Mporas I. Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation. In Min G, Jin X, Yang LT, Wu Y, Georgalas N, Al-Dubi A, editors, Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 354-359. (Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017). doi: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.59

Combination of Rule-Based and Data-Driven Fusion Methodologies for Different Speaker Verification Modes of Operation

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