Abstract | ||
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This article presents the results of grapheme-based speech recognition for eight languages. The need for this approach arises in situation of low resource languages, where obtaining a pronunciation dictionary is time-and cost-consuming or impossible. In such scenarios, usage of grapheme dictionaries is the most simplest and straight-forward. The paper describes the process of automatic generation of pronunciation dictionaries with emphasis on the expansion of numbers. Experiments on GlobalPhone database show that grapheme-based systems have results comparable to the phoneme-based ones, especially for phonetic languages. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-32790-2_53 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
LVCSR,ASR,grapheme,phoneme,speech recognition | Pronunciation,Computer science,Grapheme,Speech recognition,Speaker recognition,Natural language processing,Artificial intelligence | Conference |
Volume | ISSN | Citations |
7499 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Milos Janda | 1 | 18 | 2.06 |
Martin Karafiát | 2 | 185 | 13.65 |
Jan Cernocký | 3 | 1273 | 135.94 |