Heart Murmur Recognition Based on Hidden Markov Model

Heart Murmur Recognition Based on Hidden Markov Model

Heart murmur recognition and classification play an important role in the auscultative diagnosis. The method based on hidden markov model (HMM) was presented to recognize the heart murmur. The murmur was isolated on basis of the principle of wavelet analysis considering the time-frequency characteristics of the heart murmur. This method uses Mel frequency cepstral coefficient (MFCC) to extract ...

Hidden Markov model-based speech emotion recognition

In this contribution we introduce speech emotion recognition by use of continuous hidden Markov models. Two methods are propagated and compared throughout the paper. Within the first method a global statistics framework of an utterance is classified by Gaussian mixture models using derived features of the raw pitch and energy contour of the speech signal. A second method introduces increased te...

Product Named Entity Recognition Based on Hierarchical Hidden Markov Model

A hierarchical hidden Markov model (HHMM) based approach of product named entity recognition (NER) from Chinese free text is presented in this paper. Characteristics and challenges in product NER is also investigated and analyzed deliberately compared with general NER. Within a unified statistical framework, the approach we proposed is able to make probabilistically reasonable decisions to a gl...

Continuous Gesture Recognition Based on Hidden Markov Model

Recognition of Myanmar Handwriting Text Based on Hidden Markov Model

Handwriting recognition is one of the most challenging tasks and exciting areas of research in computer vision. Numerous document recognition methods have been proposed in various languages and character set such as Arabic, India, Korean, Japanese, Chinese and so on. This paper presents the recent result of the research work of Myanmar handwriting text recognition and translation. Each segmente...