Dominique Genoud

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This paper describes a multimodal approach for speaker verification. The system consists of two classifiers, one using visual features, the other using acoustic features. A lip tracker is used to extract visual information from the speaking face which provides shape and intensity features. We describe an approach for normalizing and mapping different(More)
This article presents an overview of the POLYCOST database dedicated to speaker recognition applications over the telephone network. The main characteristics of this database are: large mixed speech corpus size (> 100 speakers), English spoken by foreigners, mainly digits with some free speech, collected through international telephone lines, and more than(More)
A key problem for field applications in speaker verification is the issue of a priori threshold setting. In the context of the CAVE project several methods for estimating speakerindependent and speaker-dependent decision thresholds were compared. Relevant parameters are estimated from development data only, i.e. without resorting to additional client data.(More)
The CAVE project (CAller VEri cation in Banking and Telecommunications) was a 2 year project supported by the Language Engineering Sector of the Telematics Applications Programme of the European Union, and for the Swiss partners, by the O ce F ed eral de l'Education et de la Science (Bundesamt f ur Bildung und Wissenschaft). The partners were Dutch PTT(More)
The potential of the artificial intelligence, data mining and the so-called Big Data to build solutions based on the understanding of human behaviours is being extended with the capabilities of the Future Internet and the Internet of Things (IoT). The described potential of data and networks have been analyzed by the complex network theory, offering a(More)
Big Data is conceived as the powerful tool to exploit all the potential of the Internet of Things and the Smart Cities. A new dimension of understanding about the human behaviours is expected to be reached through all the gathered data in the emerging smart environment. This work analyses the data from the European Project SmartSantander. This work has(More)
The aim of this paper is to describe how the combination of speaker veri cation algorithms with a priori decision thresholds can improve the overall robustness of a real application. The evaluation is performed in the context of a eld application where each client is veri ed from a 7 digit pin code. This paper demonstrate that it is possible to increase the(More)
This paper describes a multimodal approach for speaker verication. The system consists of two classiers, one using visual features and the other using acoustic features. A lip tracker is used to extract visual information from the speaking face which provides shape and intensity features. We describe an approach for normalizing and mapping dierent(More)
Different from big cities, small towns call for culture preservation in addition to revitalization. IoT technologies could potentially serve this need. This article develops an IoT architecture, and choose best IoT enabling technologies, and IoT services, applications, and standards, towards this goal. In this article, we focus on the opportunities and(More)