2_Student Works With External Awards >
Student Works With External Awards >
Please use this identifier to cite or link to this item:
|Title: ||Type-2 fuzzy Hidden Markov Models to phoneme recognition|
|Authors: ||Zeng, Jia (曾嘉)|
|Department: ||School of Creative Media (Zeng, J.; Prof. Liu, Z. Q.)|
|Issue Date: ||2005|
|Award: ||Won the Second Prize (Postgraduate Section) in the IEEE Hong Kong Section Student Paper Contest 2004.|
|Abstract: ||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 fuzziness within the framework of type-2 fuzzy sets (FSs) and fuzzy logic systems (FLSs). Membership
functions (MFs) of type-2 fuzzy sets are three-dimensional. It is the third dimension that provides the additional degrees of freedom that make it possible to handle both uncertainties.
We apply the type-2 FHMM as acoustic models
for phoneme recognition on TIMIT speech database. Experimental results show that the type-2 FHMM has a comparable performance as that of the HMM but is more robust to noise, while it retains almost the same computational complexity
as that of the HMM.|
|Remarks: ||The Institutional Repository only contains the News announcement|
|Appears in Collections:||Student Works With External Awards|
Items in CityU IR are protected by copyright, with all rights reserved, unless otherwise indicated.