Hidden-Markov-model based statistical parametric speech synthesis for Marathi with optimal number of hidden states
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-09578-2
Abstract: Hidden Markov Model and Deep Neural Networks based Statistical Parametric Speech Synthesis systems, gain a significant attention from researchers because of their flexibility in generating speech waveforms in diverse voice qualities as well as in… read more here.
Keywords: hidden markov; speech synthesis; synthesis; speech ... See more keywords
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.069
Abstract: Recurrent neural networks (RNNs) have been drawing much attention with great success in many applications like speech recognition and neural machine translation. Long short-term memory (LSTM) is one of the most popular RNN units in… read more here.
Keywords: hidden states; term memory; long short; transformation ... See more keywords
Beyond similarity assessment: selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx643
Abstract: Abstract Motivation Pair Hidden Markov Models (PHMMs) are probabilistic models used for pairwise sequence alignment, a quintessential problem in bioinformatics. PHMMs include three types of hidden states: match, insertion and deletion. Most previous studies have… read more here.
Keywords: hidden states; beyond similarity; similarity assessment; sequence alignment ... See more keywords
3D Skeletal Gesture Recognition via Hidden States Exploration
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2974061
Abstract: Temporal dynamics is an open issue for modeling human body gestures. A solution is resorting to the generative models, such as the hidden Markov model (HMM). Nevertheless, most of the work assumes fixed anchors for… read more here.
Keywords: gesture; hidden states; recognition via; via hidden ... See more keywords
Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition
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DOI: 10.3390/e23101290
Abstract: Hidden Markov model (HMM) is a vital model for trajectory recognition. As the number of hidden states in HMM is important and hard to be determined, many nonparametric methods like hierarchical Dirichlet process HMMs and… read more here.
Keywords: hidden states; hmm; recognition; trajectory recognition ... See more keywords