A Tied-Mixture 2-D HMM Face Recognition System
نویسندگان
چکیده
In this paper, a simplified 2-D second-order Hidden Markov Model (HMM) with tied state mixtures is applied to the face recognition problem. The mixture of the model states is fully-tied across all models for lower complexity. Tying HMM parameters is a well-known solution for the problem of insufficient training data leading to nonrobust estimation. We show that parameter tying in HMM also enhances the resolution in the case of small model. The performance of the proposed 2-D HMM tied-mixture system is studied for the face recognition problem and the expected improved robustness is confirmed.
منابع مشابه
A New Fast and Efficient HMM-Based Face Recognition System Using a 7-State HMM Along With SVD Coefficients
In this paper, a new Hidden Markov Model (HMM)-based face recognition system is proposed. As a novel point despite of five-state HMM used in pervious researches, we used 7-state HMM to cover more details. Indeed we add two new face regions, eyebrows and chin, to the model. As another novel point, we used a small number of quantized Singular Values Decomposition (SVD) coefficients as feature...
متن کاملTied posteriors: an approach for effective introduction of context dependency in hybrid NN/HMM LVCSR
This papers presents a method to improve the recognition rate of hybrid connectionist/HMM speech recognition systems. At the same time this approach allows the easy introduction of context dependent models in the hybrid framework. The approach is based on a standard hybrid connectionist/HMM recognizer, in which the neural nets are trained to estimate the a posteriori probabilities for all phone...
متن کاملQuantizing mixture-weights in a tied-mixture HMM
In this paper, we describe new techniques to signi cantly reduce computational, storage and memory access requirements of a tied-mixture HMM based speech recognition system. Although continuous mixture HMMs o er improved recognition performance, we show that tied-mixture HMMs may o er signi cant advantage in complexity reduction for low-cost implementations. In particular, we consider two tasks...
متن کاملTied Mixtures in the Lincoln Robust CSR
HMM recognizers using either a single Gaussian or a Gaussian mixture per state have been shown to work fairly well for 1000-word vocabulary continuous speech recognition. However, the large number of Gaussians required to cover the entire English language makes these systems unwieldy for large vocabulary tasks. Tied mixtures offer a more compact way of representing the observation pdf's. We hav...
متن کاملNew Results with the Lincoln Tied-Mixture HMM CSR System
The following describes recent work on the Lincoln CSR system. Some new variations in semiphone modeling have been tested. A very simple improved duration model has reduced the error rate by about 10~ in both triphone and semiphone systems. A new training strategy has been tested which, by itself, did not provide useful improvements but suggests that improvements can be obtained by a related ra...
متن کامل