Name
Title | ||
|---|---|---|
Language identification of individualwords in a multilingual automatic speech recognition system |
Abstract | ||
|---|---|---|
This paper presents a new algorithm for identifying the language of words in a multilingual automatic speech recognition system. The new algorithm uses as input written words and it is composed of a method for language modelling and a method to select the language of a given word based on the available models. We also present two selection rules for the model's parameters. One of the rules uses a free parameter that controls the accuracy of the resulted model, as well as its size. On average, the classification accuracy of the new algorithm is above 70% for the first best and above 80% for the first two best. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICASSP.2009.4960594 | ICASSP |
Keywords | Field | DocType |
multilingual automatic speech recognition,free parameter,language modelling,classification accuracy,available model,selection rule,new algorithm,language identification,accuracy,testing,voting,statistics,data compression,pattern matching,speech recognition,neural networks,automatic speech recognition,natural languages,decision trees,linguistics | Cache language model,Automatic language identification,Pattern recognition,Computer science,Speech recognition,Language identification,Artificial intelligence,Natural language processing,Data compression,Language modelling,Language model,Free parameter | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-2354-5 | 978-1-4244-2354-5 | 1 |
PageRank | References | Authors |
0.38 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Hategan | 1 | 5 | 1.57 |
| Bogdan Barliga | 2 | 1 | 0.38 |
| Ioan Tabus | 3 | 276 | 38.23 |