Hidden Markov model for masquerade detection based on sequence alignment by Wei, Qiu, Khong, Andy Wai Hoong, Tay, Wee Peng

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A two-channel training algorithm for hidden Markov model to identify visual speech elements by Foo, Say Wei, Yong, Lian, Dong, Liang

“…A novel two-channel algorithm is proposed in this paper for discriminative training of Hidden Markov Models (HMMs). It adjusts the symbol emission coefficients of an existing HMM to maximize the separable distance between a pair of confusable training samples. …”
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A supervised two-channel learning method for hidden Markov model and application on lip reading by Foo, Say Wei, Dong, Liang

“…In this paper, a novel two-channel learning method for hidden Markov model (HMM) is proposed. This method is specially designed to train HMMs for fine recognition from similar observations. …”
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A new confidence measure combining hidden Markov models and artificial neural networks of phonemes for effective keyword spotting by Leow, Su Jun., Lau, Tze Siong., Goh, Alvina., Peh, Han Meng., Ng, Teck Khim., Siniscalchi, Sabato Marco., Lee, Chin-Hui.

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Probabilistic map matching of sparse and noisy smartphone location data by Jagadeesh, George Rosario, Srikanthan, Thambipillai

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Speech based emotion classification by Tin, Lay Nwe, Foo, Say Wei, De Silva, Liyanage C.

“…The recognizer presented in this paper is based on the discrete hidden Markov model and a novel feature vector based on mel frequency short time speech power coefficients is proposed. …”
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Robust real-time route inference from sparse vehicle position data by Jagadeesh, George Rosario, Srikanthan, Thambipillai

“…This task, known as map matching, is efficiently performed through probabilistic inference on a Hidden Markov Model that represents the candidate vehicle states and the transitions between them. …”
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Deep Activity Recognition Models with Triaxial Accelerometers by Abu Alsheikh, Mohammad, Selim, Ahmed, Niyato, Dusit, Doyle, Linda, Lin, Shaowei, Tan, Hwee-Pink

“…Moreover, a hybrid approach of deep learning and hidden Markov models (DL-HMM) is presented for sequential activity recognition. …”
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A boosted multi-HMM classifier for recognition of visual speech elements by Foo, Say Wei, Dong, Liang

“…A novel boosted classifier using multiple Hidden Markov Models (HMMs) is reported in this paper. The composite HMMs are specially trained to highlight certain group of training samples with the application of adaptive boosting technique. …”
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A vector-based approach to broadcast audio database indexing and retrieval by Wang, Lei, Li, Haizhou, Chng, Eng Siong

“…In this framework, we model the acoustic events using hidden Markov models, which are then used to decode the audio content. …”
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An integrated vehicular and urban sensing system : framework and modeling by Lim, Hock Beng, Soong, Boon Hee, Nasir, Adnan

“…We present tools for modeling the system based on Hidden Markov Models (HMM). These models are used for detecting events and identifying patterns in the data. …”
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Heuristic optimizations for high-speed low-latency online map matching with probabilistic sequence models by Jagadeesh, George Rosario, Srikanthan, Thambipillai

“…In this paper, we examine the factors affecting the efficiency of online map matching algorithms that are based on probabilistic sequence models such as Hidden Markov Models (HMM) and present several heuristic optimizations to improve their speed and latency. …”
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