Title :
On letter to sound conversion for Romanian: A comparison of five algorithms
Author :
Toma, Stefan-Adrian ; Birsan, Traian ; Totir, Felix ; Oancea, Eugeniu
Author_Institution :
Mil. Tech. Acad., Bucharest, Romania
Abstract :
This paper presents an evaluation of 5 letter-to-sound (LTS) systems for Romanian. The first is an expert system; three of them use automatic classification methods with decision trees, neural networks and support vector machines respectively and the fifth one uses pronunciation by analogy. All systems were trained and tested on the same database: a 15,517 words corpus built according to the SpeechDat specifications and a corpus consisting of the most frequent 4779 words in Romanian. The results show that decision trees and neural networks generate the best results for letter to sound conversion in Romanian.
Keywords :
decision trees; expert systems; neural nets; pattern classification; signal classification; speech processing; support vector machines; LTS systems; Romania; SpeechDat specifications; automatic classification methods; decision trees; expert system; letter-to-sound conversion systems; neural networks; pronunciation; support vector machines; word corpus; Context; Decision trees; Dictionaries; Error analysis; Support vector machine classification; Training; automatic classification; corpus; insert (key words); phonetic transcription; styling;
Conference_Titel :
Speech Technology and Human - Computer Dialogue (SpeD), 2013 7th Conference on
Conference_Location :
Cluj-Napoca
DOI :
10.1109/SpeD.2013.6682664
