ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

HMM2- a novel approach to HMM emission probability estimation

Katrin Weber, Samy Bengio, Hervé Bourlard

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.


Cite as: Weber, K., Bengio, S., Bourlard, H. (2000) HMM2- a novel approach to HMM emission probability estimation. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 3, 147-150

@inproceedings{weber00b_icslp,
  author={Katrin Weber and Samy Bengio and Hervé Bourlard},
  title={{HMM2- a novel approach to HMM emission probability estimation}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 3, 147-150}
}