A turbo-style algorithm for lexical baseforms estimation

Author

Choueiter, Ghinwa F. ; Ohannessian, Mesrob I. ; Seneff, Stephanie ; Glass, James R.

Author_Institution

Comput. Sci. & Artificial Intell. Lab., MIT, Cambridge, MA

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

4313

Lastpage

4316

Abstract

In this research, an iterative and unsupervised Turbo-style algorithm is presented and implemented for the task of automatic lexical acquisition. The algorithm makes use of spoken examples of both spellings and words and fuses information from letter and subword recognizers to boost the overall lexical learning performance. The algorithm is tested on a challenging lexicon of restaurant and street names and evaluated in terms of spelling accuracy and letter error rate. Absolute improvements of 7.2% and 3% (15.5% relative improvement) are obtained in the spelling accuracy and the letter error rate respectively following only 2 iterations of the algorithm.

Keywords

iterative methods; sensor fusion; speech recognition; unsupervised learning; automatic lexical acquisition; information fusion; iterative turbo-style algorithm; letter recognizer; lexical baseforms estimation; lexical learning performance; speech recognition systems; subword recognizer; unsupervised Turbo-style algorithm; Bidirectional control; Clustering algorithms; Computer science; Dictionaries; Engines; Error analysis; Glass; Iterative algorithms; Speech; Turbo codes; Turbo-style; lexical acquisition; pronunciation; spelling;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518609

Filename

4518609