• Publications
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Audio-based context recognition
TLDR
The aim of this paper is to investigate the feasibility of an audio-based context recognition system. Expand
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Computational auditory scene recognition
TLDR
In this paper, we address the problem of computational auditory scene recognition and describe methods to classify auditory scenes into predefined classes. Expand
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Neural networks in process fault diagnosis
TLDR
Fault detection and diagnosis is an important problem in process automation. Expand
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Application of artificial neural networks in process fault diagnosis
TLDR
A realistic heat exchanger-continuous stirred tank reactor system with 14 noisy measurements and 10 fault situations is studied as a test case. Expand
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Recursive least-squares approach to self-organizing maps
TLDR
The code update of the self-organizing map is formulated as a parameter estimation problem, which is then solved by the recursive least-squares method. Expand
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APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN PROCESS FAULT DIAGNOSIS
TLDR
The application of neural network methods in process fault detection and diagnosis is discussed. Expand
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APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN PROCESS FAULT DIAGNOSIS
Abstract The application of neural network methods in process fault detection and diagnosis is discussed. The diagnosis is based on the classification of process measurements. A realistic heatExpand
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Audio-based context awareness - acoustic modeling and perceptual evaluation
TLDR
We evaluate different model topologies and training methods and show that discriminative training can yield a 10% reduction in error rate compared to maximum-likelihood training. Expand
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Audio-based context awareness acoustic modeling and perceptual evaluation
Summary form only given. The paper concerns the development of a system for the recognition of a context or an environment based on acoustic information only. Our system uses Mel-frequency cepstralExpand
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Melodic Resolution in Music Retrieval
TLDR
A query-by-humming application was constructed to evaluate the dependencies between the melodic resolution, database size and the search-key length in order to consider the optimal level of melodicresolution in music retrieval applications. Expand
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