METHOD AND APPARATUS FOR DETECTING SPOOFING CONDITIONS

An automated speaker verification (ASV) system incorporates a first deep neural network to extract deep acoustic features, such as deep CQCC features, from a received voice sample. The deep acoustic features are processed by a second deep neural network that classifies the deep acoustic features acc...

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Bibliographic Details
Main Authors PATIL, KAILASH, KHOURY, ELIE, NAGARSHETH, PARAV, GARLAND, MATTHEW
Format Patent
LanguageEnglish
French
Published 07.09.2018
Subjects
ACOUSTICS
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
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Summary:An automated speaker verification (ASV) system incorporates a first deep neural network to extract deep acoustic features, such as deep CQCC features, from a received voice sample. The deep acoustic features are processed by a second deep neural network that classifies the deep acoustic features according to a determined likelihood of including a spoofing condition. A binary classifier then classifies the voice sample as being genuine or spoofed. L'invention concerne un système de vérification de locuteur automatisée (ASV) qui incorpore un premier réseau neuronal profond pour extraire des caractéristiques acoustiques profondes, telles que des caractéristiques CQCC profondes, d'un échantillon vocal reçu. Les caractéristiques acoustiques profondes sont traitées par un second réseau neuronal profond qui classifie les caractéristiques acoustiques profondes selon une probabilité déterminée qu'elles comprennent un état d'arnaque. Un classificateur binaire classe ensuite l'échantillon vocal comme étant authentique ou une arnaque.
Bibliography:Application Number: CA20183054063