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 [BibTeX] [Marc21]
HMM2- A Novel Approach to HMM Emission Probability Estimation
Type of publication: Idiap-RR
Citation: weber-rr-00-30
Number: Idiap-RR-30-2000
Year: 2000
Institution: IDIAP
Address: Martigny, Switzerland
Note: Published: ICSLP 2000, Beijing, October 2000
Abstract: In this paper, we discuss and investigate a new method to estimate local emission probabilities in the framework of hidden Markov models (HMM). Each feature vector is considered to be a sequence and is supposed to be modeled by yet another HMM. Therefore, we call this approach `HMM2'. There is a variety of possible topologies of such HMM2 systems, e.g. incorporating trellis or ergodic HMM structures. Preliminary HMM2 speech recognition experiments on cepstral and spectral features yielded worse results than state-of-the-art systems. However, we believe that HMM2 systems have a lot of potential advantages and are therefore worth investigating further.
Userfields: ipdinar={2000}, ipdmembership={speech}, language={English},
Projects Idiap
Authors Weber, Katrin
Bengio, Samy
Bourlard, Hervé
Crossref by weber-ar-00-30
Added by: [UNK]
Total mark: 0
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