LIDIAP - Laboratoire de l'IDIAP

Derniers ajouts

• 2017-06-19
  15:13
  S. Tong, P. N. Garner and H. Bourlard. An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation. Proc. of Interspeech.

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• 2017-06-19
  15:13
  N. Le and J.-M. Odobez. Towards large scale multimedia indexing: A case study on person discovery in broadcast news. 15th International Workshop on Content-Based Multimedia Indexing.

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• 2017-06-19
  15:13
  D. Gatica-Perez, G. Can, R. Hu, S. Marchand-Maillet and J.-M. Odobez et al. MAAYA: Multimedia Methods to Support Maya Epigraphic Analysis, 2017.

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• 2017-06-19
  15:13
  M. Cernak, A. Komaty, A. Mohammadi, A. Anjos and S. Marcel. Bob Speaks Kaldi. Proc. of Interspeech.

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• 2017-06-19
  15:13
  M. Cernak, J. R. Orozco-Arroyave, F. Rudzicz, H. Christensen and J. C. Vasquez-Correa et al. Characterisation of voice quality of Parkinson's disease using differential phonological posterior features, in Computer Speech and Language, p. 0-0, 2017.

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• 2017-06-19
  15:13
  G. Can, J.-M. Odobez and D. Gatica-Perez. Shape Representations for Maya Codical Glyphs: Knowledge-driven or Deep? 15th International Workshop on Content-Based Multimedia Indexing.

  Notice détaillée
• 2017-05-19
  15:12
  M. Zeestraten, I. Havoutis, J. Silverio, S. Calinon and D. G. Caldwell. An Approach for Imitation Learning on Riemannian Manifolds, in IEEE Robotics and Automation Letters (RA-L), vol. 2, num. 3, p. 0-0, 2017.

  Notice détaillée
• 2017-05-19
  15:12
  D. Santani, S. Ruiz-Correa and D. Gatica-Perez. Insiders and Outsiders: Comparing Urban Impressions between Population Groups. International Conference on Multimedia Retrieval, Bucharest, Romania, June 06 - 09, 2017.

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• 2017-05-19
  15:12
  M. Razavi, R. Rasipuram and M. Magimai.-Doss. Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, 2017.

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• 2017-05-19
  15:12
  D. Ram, A. Asaei and H. Bourlard. Subspace Regularized Dynamic Time Warping for Spoken Query Detection. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS).

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