View Seminar Video View Presentation Slides Abstract Tectogrammatical Representation is the meaning representation used in the family of Prague Dependency Treebanks, including the parallel English-Czech dependency treebank based on the WSJ texts used for the[…]

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View Seminar Video View Presentation Slides Abstract For many years the human auditory system has been an inspiration for developers of automatic speech recognition systems because of its ability to interpret speech accurately in a[…]

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View Seminar Video View Presentation Slides Abstract Having brought dramatic improvements in speech recognition, neural networks are now beginning to make an impact in machine translation as well. I will give a survey of some[…]

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View Seminar Video View Presentation Slides Abstract This presentation investigates the application of manifold learning approaches to acoustic modeling in automatic speech recognition (ASR). Acoustic models in ASR are defined over high dimensional feature vectors[…]

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Abstract The subglottal acoustic system refers to the acoustic system below the glottis, which consists of the trachea, bronchi and lungs. Resonances of this system have not been investigated before in speech processing applications. Our[…]

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Abstract A multivariate Markov process is a vector of random processes which are jointly, but not necessarily individually, Markov. Multivariate Markov processes form a rich family of mathematically tractable models, which have been found useful[…]

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Abstract In many practical scenarios, complex high-dimensional data contains low-dimensional structures that could be informative of the analytic problems at hand. I will present a method that detects such structures if they exist, and uses[…]

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