Christophe Charbuillet

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Moving music indexing technologies developed in a research lab to their integration and use in the context of a third-party search and navigation engine that indexes music files, archives of TV music programs and video-clips, involves a set of choices and works that we relate here. First one has to choose technologies that perform well, which are scalable(More)
Speech recognition systems usually need a feature extraction stage which aims at obtaining the best signal representation. State of the art speaker verification systems are based on cep-stral features like MFCC, LFCC or LPCC. In this article, we propose a feature extraction system based on the combination of three feature extractors adapted to the speaker(More)
Conventional automatic speaker verification systems are based on cepstral features like Mel-scale frequency cepstrum coefficient (MFCC), or linear predictive cepstrum coefficient (LPCC). Recent published works showed that the use of complementary features can significantly improve the system performances. In this paper, we propose to use an evolution(More)
A study on properties of data sets representing public domain audio and visual content and their relation to their indexability is presented. Data analysis considers the pairwise distance distributions and various techniques to estimate the true intrinsic dimensionality of the studied data. One own alternative to dimensionality estimation is also presented.(More)
Some well known theoretical results concerning the universal approximation property of MLP neural networks with one hidden layer have shown that for any function f from [0, 1] n to , only the output layer weights depend on f. We use this result to propose a network architecture called the predictive Kohonen map allowing to design a new speech features(More)
This paper deals with the issue of synchronization of a multi camera system observing dynamic scenes. The developed method presented is not based on the use of local image features that are in general not robust to possible occlusions and noise. Instead, a new approach is introduced allowing a temporal alignment of video sequences using the analysis of(More)
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