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Title:
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Person verification by fusion of prosodic, voice spectral and facial parameters
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Author:
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Hernando, Javier; Farrús, Mireia; Ejarque, Pascual; Garde, Ainara; Luque, Jordi; Comunicació presentada a: SECRYPT 2006, International Conference on Security and Cryptography, celebrada a Setúbal, Portugal, del 7 al 10 d'agost de 2006
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Abstract:
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Prosodic information can be used successfully for automatic speaker recognition, although most of the
speaker recognition systems use only short-term spectral features as voice information. In this work,
prosody information is added to a multimodal system based on face and voice characteristics in order to
improve the performance of the system. Fusion is carried out by using various fusion strategies and two
different fusion techniques: support vector machines and matcher weighting. Results are clearly improved
when a previous normalization based on histogram equalization is done before the fusion of the monomodal
scores. |
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Abstract:
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This work has been partially supported by the European Union (under CHIL IST-2002-506909 and
BIOSEC IST-2002-001766) and by the Spanish Government (under ACESCA project TIN2005-08852 and grant AP2003-3598). |
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Subject(s):
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-Biometrics
-Multimodality
-Fusion
-Face
-Prosody
-Support Vector Machines
-Matcher weighting |
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Rights:
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© SciTePress
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Document type:
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Conference Object
Article - Published version |
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Published by:
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INSTICC Press
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