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http://hdl.handle.net/2031/260
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| Title: | Type-2 fuzzy Hidden Markov Models to phoneme recognition |
| Authors: | Zeng, Jia (曾嘉)
Liu, Zhi-qiang |
| 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. |
| Type: | Article |
| 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
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