141 search results - page 13 / 29 » Spectral Clustering and Embedding with Hidden Markov Models |
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
INTERSPEECH
2010
13 years 2 months ago
2010
In this paper, we present efficient HMM-based techniques for estimating missing features. By assuming speech features to be observations of hidden Markov processes, we derive a mi...
NIPS
2003
13 years 9 months ago
2003
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
INTERSPEECH
2010
13 years 2 months ago
2010
In this paper we evaluate a method for generating synthetic speech at high speaking rates based on the interpolation of hidden semi-Markov models (HSMMs) trained on speech data re...