Sixth International Conference on Spoken Language Processing
October 16-20, 2000
HMM2- A Novel Approach to HMM Emission Probability Estimation
Katrin Weber (1,2), Samy Bengio (1), Hervé Bourlard (1,2)
(1) IDIAP - Dalle Molle Institute of Perceptual Artificial Intelligence, Martigny, Switzerland
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.
(2) EPFL - Swiss Federal Institute of Technology, Lausanne, Switzerland
Weber, Katrin / Bengio, Samy / Bourlard, Hervé (2000):
"HMM2- a novel approach to HMM emission probability estimation",
In ICSLP-2000, vol.3, 147-150.