Please use this identifier to cite or link to this item:
http://dspace.cityu.edu.hk/handle/2031/260
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 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
award_news.html | 152 B | HTML | View/Open |
Items in Digital CityU Collections are protected by copyright, with all rights reserved, unless otherwise indicated.