Ch. Neukirchen

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This paper presents a new approach to speech recognition with hybrid HMM/ANN technology. While the standard approach to hybrid HMM/ANN systems is based on the use of neural networks as posterior probability estimators, the new approach is based on the use of mutual information neural networks trained with a special learning algorithm in order to maximize(More)
In this paper, a hybrid MMI-connectionist / hidden Markov model (HMM) speech recognition system for the Wall Street Journal (WSJ) database is presented. The HMM part of this system uses discrete probability density functions (pdf). The neural network (NN) is used to replace a classical vector quantizer (VQ) like a k-means or LBG algorithm, which are(More)
The outcome assessment of endovascular revascularization procedures in the lower limbs is currently carried out by x-ray digital subtraction angiography (DSA). Due to the two-dimensional nature of this technique, only visual assessment of arterial blood flow is possible and no tissue blood flow information (i.e. perfusion) is available to assess the(More)
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