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This paper proposes a method to calculate the confidence score for out-of-vocabulary (OOV) word verification based on the Output Probability Distribution (OPD) of phoneme HMMs. Compared with input vector for dynamic garbage model, OPD vector contains more information than the sorted probabilities. Confidence score of each phoneme is calculated by SVM with OPD vectors as input. Hypotheses are accepted...
The error-correcting output codes (ECOC) method reduces the multi-class learning problem into a series of binary classifiers. In this paper, we propose a modified Hadamard-type ECOC method. This method uses both N'th order and N/2'th-order Hadamard matrix to construct error correcting output codes, which is called hybrid Hadamard ECOC. Experiments based on dichotomizers of support vector machines...
Support vector machines (SVM) represents a new approach to pattern classification developed from the theory of structural risk minimization (V. Vapnik, 1998). In this paper, we propose an investigation into the application of SVM to the confidence measurement problem in speech recognition. Confidence measures are computed using the phone-level information provided by a hidden Markov model (HMM) based...
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