Title : 
Accent identification
         
        
            Author : 
Teixeira, Carlos ; Trancoso, Isabel ; Serralheiro, António
         
        
            Author_Institution : 
INESC, Lisbon, Portugal
         
        
        
        
        
        
            Abstract : 
Foreign accent identification is a new challenging problem closely related to other relatively recent fields of the multilingual area such as dialect identification and language identification. The paper describes an automatic identification system for English accents from 6 different European countries. The approach is based on a parallel set of ergodic nets with context independent HMM units. The ergodic topology was also substituted by pronunciation transcription constraints in order to integrate accent specific automatic word recognisers. Considering the complexity of the task, the results can be considered encouraging for further research
         
        
            Keywords : 
hidden Markov models; identification; speech recognition; European countries; accent specific automatic word recognisers; automatic English accent identification system; context independent hidden Markov model units; dialect identification; ergodic nets; ergodic topology; foreign accent identification; language identification; pronunciation transcription constraints; Application software; Automatic speech recognition; Databases; Feedback; Hidden Markov models; Microcomputers; Natural languages; Telephony; Topology; Usability;
         
        
        
        
            Conference_Titel : 
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
         
        
            Conference_Location : 
Philadelphia, PA
         
        
            Print_ISBN : 
0-7803-3555-4
         
        
        
            DOI : 
10.1109/ICSLP.1996.607975