Hidden Markov Model with Binned Duration and Its Application
نویسنده
چکیده
viii 1 HMM background 1 1.
منابع مشابه
Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM
Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...
متن کاملHidden Markov models for stochastic sequential analysis and stochastic carrier-wave signal processing
Hidden Markov model methods for stochastic sequential analysis are described and a synergistic union is presented to arrive at a new form of carrier-based communication, where the carrier is not periodic but is stochastic, typically with stationary statistics. HMM with binned duration, and meta-HMM algorithmic methods, are shown to enable practical stochastic carrier wave encoding/decoding, whe...
متن کاملAbnormality Detection in a Landing Operation Using Hidden Markov Model
The air transport industry is seeking to manage risks in air travels. Its main objective is to detect abnormal behaviors in various flight conditions. The current methods have some limitations and are based on studying the risks and measuring the effective parameters. These parameters do not remove the dependency of a flight process on the time and human decisions. In this paper, we used an HMM...
متن کاملMAN-MACHINE INTERACTION SYSTEM FOR SUBJECT INDEPENDENT SIGN LANGUAGE RECOGNITION USING FUZZY HIDDEN MARKOV MODEL
Sign language recognition has spawned more and more interest in human–computer interaction society. The major challenge that SLR recognition faces now is developing methods that will scale well with increasing vocabulary size with a limited set of training data for the signer independent application. The automatic SLR based on hidden Markov models (HMMs) is very sensitive to gesture's shape inf...
متن کاملIntrusion Detection Using Evolutionary Hidden Markov Model
Intrusion detection systems are responsible for diagnosing and detecting any unauthorized use of the system, exploitation or destruction, which is able to prevent cyber-attacks using the network package analysis. one of the major challenges in the use of these tools is lack of educational patterns of attacks on the part of the engine analysis; engine failure that caused the complete training, ...
متن کامل