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 [BibTeX] [Marc21]
HMM2- A Novel Approach to HMM Emission Probability Estimation
Type of publication: Conference paper
Citation: weber-ar-00-30
Booktitle: International Conference on Spoken Langugae Processing (ICSLP 2000)
Year: 2000
Month: 10
Address: Beijing, China
Note: IDIAP-rr 00-30
Crossref: weber-rr-00-30:
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: ipdmembership={speech}, language={English},
Keywords:
Projects Idiap
Authors Weber, Katrin
Bengio, Samy
Bourlard, Hervé
Added by: [UNK]
Total mark: 0
Attachments
  • rr00-30.pdf
  • rr00-30.ps.gz
Notes