Compensation for the homogeneous assumption of classical HMM by probability penalty

HAO Jie; LI Xing

doi:10.15949/j.cnki.0371-0025.2001.04.017

HAO Jie, LI Xing. Compensation for the homogeneous assumption of classical HMM by probability penalty[J]. ACTA ACUSTICA, 2001, 26(4): 381-382. DOI: 10.15949/j.cnki.0371-0025.2001.04.017

Citation:

HAO Jie, LI Xing. Compensation for the homogeneous assumption of classical HMM by probability penalty[J]. ACTA ACUSTICA, 2001, 26(4): 381-382. DOI: 10.15949/j.cnki.0371-0025.2001.04.017

Citation:

HAO Jie, LI Xing. Compensation for the homogeneous assumption of classical HMM by probability penalty[J]. ACTA ACUSTICA, 2001, 26(4): 381-382. DOI: 10.15949/j.cnki.0371-0025.2001.04.017

Compensation for the homogeneous assumption of classical HMM by probability penalty

HAO Jie,
LI Xing

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The theoretical weakness of classical Hidden Markov Model (HMM), i.e. its homogeneous assumption and two inhomogeneous HMMs are studied in this paper. Control experbent for speeCh recognition shows that the penalty approach is robust and more effective in compensating this unreasonable assumption.

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