Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets

Antoine Liutkus 1, 2 Umut Şimşekli 3 Taylan Cemgil 3
1 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 Department of Computer Engineering [Bogazici]
Abstract : We focus on the problem of analyzing corpora composed of irregularly sampled (multi-rate) heterogeneous temporal data. We propose a novel convolutive multi-rate factorization model for extracting multi-modal patterns from such multi-rate data. Our model builds up on previously proposed multi-view (coupled) nonnegative matrix factor-ization techniques, and extends them by accounting for heterogeneous sample rates and enabling the patterns to have a duration. We illustrate the proposed methodology on the joint study of audiovisual data for speech analysis.
Type de document :
Communication dans un congrès
International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), Aug 2015, Liberec, Czech Republic. 2015
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Dernière modification le : mercredi 21 février 2018 - 07:50:03
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Antoine Liutkus, Umut Şimşekli, Taylan Cemgil. Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets. International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), Aug 2015, Liberec, Czech Republic. 2015. 〈hal-01170932〉

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