Title :
Estimating the intrinsic dimensionality of discrete utterances
Author :
Baydal, Elvira ; Andreu, Gabriela ; Vidal, Enrique
Author_Institution :
Univ. Politecnia de Albacete, Spain
fDate :
5/1/1989 12:00:00 AM
Abstract :
The intrinsic dimensionally (ID) of different sets of isolated word utterances is estimated through a method recently proposed by K.W. Pettis et al. (1979). This results show ID values ranging from 3 to 15, which are consistent with the intuitive degree of difficulty associated to the sets considered. Also, some speculative applications of ID estimating are discussed.<>
Keywords :
speech recognition; discrete utterances; intrinsic dimensionality; isolated word utterances; speech recognition; Delta modulation; Filters; Loudspeakers; Pattern analysis; Pattern recognition; Psychology; Signal processing algorithms; Speech; Time domain analysis; Vocabulary;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
