DocumentCode
1577142
Title
Phonetic analysis of a computational model for vocabulary acquisition from auditory inputs
Author
Van hamme, Hugo
Author_Institution
Dept. ESAT, Katholieke Univ. Leuven, Leuven, Belgium
Volume
2
fYear
2011
Firstpage
1
Lastpage
6
Abstract
An overview of the NMF (non-negative matrix factorization) approach for word acquisition from auditory inputs is given. The method can link acoustic realizations of spoken words with information observed in other modalities. The method is applied to the acquisition of a small set of keywords embedded in carrier sentences. A phonetic description is linked to the learned representations which are otherwise difficult to interpret. Through this link, the phonetic similarity between the learned acoustic representations and lexical items is displayed and interpreted.
Keywords
learning (artificial intelligence); natural language processing; acoustic representation; auditory inputs; computational model; lexical items; nonnegative matrix factorization; phonetic analysis; phonetic description; phonetic similarity; spoken words; vocabulary acquisition; word acquisition; Art; Hidden Markov models; Indexes; Manganese; non-negative matrix factorization; pattern discovery; word acquisition;
fLanguage
English
Publisher
ieee
Conference_Titel
Development and Learning (ICDL), 2011 IEEE International Conference on
Conference_Location
Frankfurt am Main
ISSN
2161-9476
Print_ISBN
978-1-61284-989-8
Type
conf
DOI
10.1109/DEVLRN.2011.6037365
Filename
6037365
Link To Document