24 search results - page 1 / 5 » Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
IPPS
1999
IEEE
13 years 8 months ago
1999
IEEE
This paper presents a parallel phoneme recognition algorithm based on the continuous Hidden Markov Model (HMM). The parallel phoneme recognition algorithm distributes 3-state HMMs...
TFS
2008
2008
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
13 years 4 months ago
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
This paper integrates Markov random fields (MRFs) with type-2 fuzzy sets (T2 FSs) referred to as T2 FMRFs, which can handle the fuzziness of the labeling space as well as the rand...
LREC
2008
13 years 5 months ago
2008
Speech synthesis by unit selection requires the segmentation of a large single speaker high quality recording. Automatic speech recognition techniques, e.g. Hidden Markov Models (...