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Robust front-end for audio, visual and audio–visual speech classification
(Springer, 2018-06)
This paper proposes a robust front-end for speech classification which can be employed with acoustic, visual or audio–visual information, indistinctly. Wavelet multiresolution analysis is employed to represent temporal ...
Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
(Elsevier, 2010-04)
Hidden Markov models have been found very useful for a wide range of applications in machine learning and pattern recognition. The wavelet transform has emerged as a new tool for signal and image analysis. Learning models ...
Classification of ASR Word Hypotheses using prosodic information and resampling of training data
(Planta Piloto de Ingeniería Química, 2013-07)
In this work, we propose a novel re-sampling method based on word lattice information and we use prosodic cues with support vector machines for classification. The idea is to consider word recognition as a two-class ...