Automatic Harmonization Using a Hidden Semi-Markov Model
Hidden Markov Models have been used frequently in the audio domain to identify underlying musical structure. Much less work has been done in the purely symbolic realm. Recently, a substantial amount of expert-labelled symbolic musical data has been injected into the research community.
Ryan Groves
semanticscholar +4 more sources
Activity recognition and abnormality detection with the switching hidden semi-Markov model [PDF]
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environment.
Bui, Hung H. +3 more
core +2 more sources
Every year, millions of birds migrate between breeding and nonbreeding habitat, but the relative numbers of animals moving between sites are difficult to observe directly.
Sam Nicol +6 more
doaj +2 more sources
A Novel Health Prognosis Method for a Power System Based on a High-Order Hidden Semi-Markov Model
Power system health prognosis is a key process of condition-based maintenance. For the problem of large error in the residual lifetime prognosis of a power system, a novel residual lifetime prognosis model based on a high-order hidden semi-Markov model ...
Qinming Liu +4 more
doaj +2 more sources
Process Discovery Using Classification Tree Hidden Semi-Markov Model [PDF]
Various and ubiquitous information systems are being used in monitoring, exchanging, and collecting information. These systems are generating massive amount of event sequence logs that may help us understand underlying phenomenon. By analyzing these logs, we can learn process models that describe system procedures, predict the development of the system,
Yihuang Kang +3 more
openalex +6 more sources
Hidden semi-Markov Model based earthquake classification system using Weighted Finite-State Transducers [PDF]
Automatic earthquake detection and classification is required for efficient analysis of large seismic datasets. Such techniques are particularly important now because access to measures of ground motion is nearly unlimited and the target waveforms ...
M. Beyreuther, J. Wassermann
doaj +3 more sources
SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
A hidden semi-Markov QP-model is considered; and the way it could be embedded in a general hidden semi-Markov model is shown. The estimation problem (the first of three classical theory problems of the hidden Markov models and hidden semi-Markov models ...
V. M. Deundyak, M. A. Zhdanova
doaj +4 more sources
Explicit Modeling of Brain State Duration Using Hidden Semi Markov Models in EEG Data [PDF]
We consider the detection and characterization of brain state transitions based on ongoing electroencephalography (EEG). Here, a brain state represents a specific brain dynamical regime or mode of operation that produces a characteristic quasi-stable ...
Nelson J. Trujillo-Barreto +3 more
doaj +2 more sources
Learning Evolutionary Stages with Hidden Semi-Markov Model for Predicting Social Unrest Events
Social unrest events are common happenings in modern society which need to be proactively handled. An effective method is to continuously assess the risk of upcoming social unrest events and predict the likelihood of these events. Our previous work built
Fengcai Qiao, Xin Zhang, Jinsheng Deng
doaj +2 more sources
Detection of sedentary time and bouts using consumer-grade wrist-worn devices: a hidden semi-Markov model [PDF]
Background Wrist-worn data from commercially available devices has potential to characterize sedentary time for research and for clinical and public health applications.
Agus Salim +11 more
doaj +2 more sources

