Although the hidden Markov models (HMM) are very popular in many applied areas their use reliability engineering is limited. Problems such as selection of HMM model by choosing appropriate number states, or problems prediction failures have not been widely covered literature. This paper concerned with HMMs where state system directly observable and instead certain indicators true situation prov...

With the advance in semiconductor memory and the availability of very large speech corpora (of hundreds to thousands of hours of speech), we would like to revisit the use of discrete hidden Markov model (DHMM) in automatic speech recognition. To estimate the discrete density in a DHMM state, the acoustic space is divided into bins and one simply count the relative amount of observations falling...

With the advance in semiconductor memory and the availability of very large speech corpora (of hundreds to thousands of hours of speech), we would like to revisit the use of discrete hidden Markov model (DHMM) in automatic speech recognition. To estimate the discrete density in a DHMM state, the acoustic space is divided into bins and one simply count the relative amount of observations falling...