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 | |
| Added by: | [UNK] |
| Total mark: | 0 |
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