Audio Visual Speaker Verification based on Hybrid Fusion of Cross Modal Features

Girija Chetty; Michael Wagner

doi:10.1007/978-3-540-77046-6_58

Audio Visual Speaker Verification based on Hybrid Fusion of Cross Modal Features

Girija Chetty, Michael Wagner

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

In this paper, we propose hybrid fusion of audio and explicit correlation features for speaker identity verification applications. Experiments were performed with the GMM based speaker models with a hybrid fusion technique involving late fusion of explicit cross-modal fusion features, with implicit eigen lip and audio MFCC features. An evaluation of the system performance with different gender specific datasets from controlled VidTIMIT data base and opportunistic UCBN database shows a significant performance improvement

Original language	English
Title of host publication	Pattern Recognition and Machine Intelligence Proceedings
Editors	A Ghosh, R.De
Place of Publication	German
Publisher	Springer
Pages	469-478
Number of pages	10
ISBN (Electronic)	9783540770466
ISBN (Print)	9783540770459
DOIs	https://doi.org/10.1007/978-3-540-77046-6_58
Publication status	Published - 2007
Event	Pattern Recognition and Machine Intelligence (PReMI) - , India Duration: 18 Dec 2007 → 22 Dec 2007

Conference

Conference	Pattern Recognition and Machine Intelligence (PReMI)
Country/Territory	India
Period	18/12/07 → 22/12/07

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10.1007/978-3-540-77046-6_58

Cite this

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title = "Audio Visual Speaker Verification based on Hybrid Fusion of Cross Modal Features",

abstract = "In this paper, we propose hybrid fusion of audio and explicit correlation features for speaker identity verification applications. Experiments were performed with the GMM based speaker models with a hybrid fusion technique involving late fusion of explicit cross-modal fusion features, with implicit eigen lip and audio MFCC features. An evaluation of the system performance with different gender specific datasets from controlled VidTIMIT data base and opportunistic UCBN database shows a significant performance improvement",

author = "Girija Chetty and Michael Wagner",

year = "2007",

doi = "10.1007/978-3-540-77046-6_58",

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editor = "A Ghosh and R.De",

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publisher = "Springer",

address = "Netherlands",

note = "Pattern Recognition and Machine Intelligence (PReMI) ; Conference date: 18-12-2007 Through 22-12-2007",

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T1 - Audio Visual Speaker Verification based on Hybrid Fusion of Cross Modal Features

AU - Chetty, Girija

AU - Wagner, Michael

PY - 2007

Y1 - 2007

N2 - In this paper, we propose hybrid fusion of audio and explicit correlation features for speaker identity verification applications. Experiments were performed with the GMM based speaker models with a hybrid fusion technique involving late fusion of explicit cross-modal fusion features, with implicit eigen lip and audio MFCC features. An evaluation of the system performance with different gender specific datasets from controlled VidTIMIT data base and opportunistic UCBN database shows a significant performance improvement

AB - In this paper, we propose hybrid fusion of audio and explicit correlation features for speaker identity verification applications. Experiments were performed with the GMM based speaker models with a hybrid fusion technique involving late fusion of explicit cross-modal fusion features, with implicit eigen lip and audio MFCC features. An evaluation of the system performance with different gender specific datasets from controlled VidTIMIT data base and opportunistic UCBN database shows a significant performance improvement

U2 - 10.1007/978-3-540-77046-6_58

DO - 10.1007/978-3-540-77046-6_58

M3 - Conference contribution

SN - 9783540770459

SP - 469

EP - 478

BT - Pattern Recognition and Machine Intelligence Proceedings

A2 - Ghosh, A

A2 - R.De, null

PB - Springer

CY - German

T2 - Pattern Recognition and Machine Intelligence (PReMI)

Y2 - 18 December 2007 through 22 December 2007

ER -

Audio Visual Speaker Verification based on Hybrid Fusion of Cross Modal Features

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