HMM training based on quality measurement. Abstract: Two discriminant measures for HMM states to improve the effectiveness on HMM training are presented. In HMM ...

In this paper, we propose to incorporate the widely used Multiple Layer Perceptron (MLP) features and discriminative training (DT) into our recent data-sampling ...

Abstract. Two discriminant measures for HMM states to improve ef- fectiveness on HMM training are presented in this paper. In HMM based speech recognition, ...

Mar 15, 1999 · Abstract. Two discriminant measures for HMM states to improve effectiveness on HMM training are presented in this paper. In HMM based speech ...

Bibliographic details on HMM training based on quality measurement.

1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). See Full PDF Download PDF.

Using a Hidden Markov Model to Measure Earnings Quality. Abstract. We propose and validate a new measure of earnings quality based on a hidden Markov model.

Jan 18, 2022 · This paper is based on deep learning and an improved HMM training algorithm to study the facial expression recognition of sports athletes.

Jan 11, 2024 · The performance of the HMM can be evaluated using various metrics, such as accuracy, precision, recall, or F1 score. To summarise, the HMM ...

May 8, 2018 · We propose and validate a new measure of earnings quality based on a hidden Markov model. This measure, termed earnings fidelity, captures how ...