Paper Info
Title
A syllable segmentation algorithm for English and italian
Abstract
In this paper we present a simple algorithm for speech syllabification. It is based on the detection of the most relevant energy maximums, using two different energy calculations: the former from the original signal, the latter from a low-pass filtered version. The system requires setting appropriate values for a number of parameter. The procedure to assign a proper value to each one is reduced to the minimization of a n-variable function, for which we use either a genetic algorithm and simulated annealing. Different estimation of parameters for both Italian and English was carried out. We found the English setting was also suitable for Italian but not the reverse.
Year
Venue
Keywords
2003
INTERSPEECH
simulated annealing,genetic algorithm,low pass filter
Field
DocType
Citations 
Simulated annealing,Pattern recognition,Computer science,Segmentation,Syllabification,Speech recognition,Adaptive simulated annealing,Minification,Artificial intelligence,Syllable,SIMPLE algorithm,Genetic algorithm
Conference
10
PageRank 
References 
Authors
0.66
6
2
Name
Order
Citations
PageRank
Massimo Petrillo1101.00
Francesco Cutugno27618.01