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- W2939020069 abstract "In this work, we address the problem of identifying languages based on Voxforge speech corpus. We downloaded corpora for three languages: English, German and Persian from Voxforge. In addition, we recorded two additional corpora, the first one for Modern Standard Arabic (MSA) and the other one for Kabyl, one of the Algerian Berber dialects. To tackle this task, we used three classifiers, namely: k-Nearest Neighbors (kNN), Support Vector Machines (SVM) and Extra Trees Classifier. We obtained an average precision of (87.45 %) for binary classification compared to (44 %) for the multi-class one." @default.
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- W2939020069 date "2019-03-17" @default.
- W2939020069 modified "2023-09-25" @default.
- W2939020069 title "A Language Identification System Based on Voxforge Speech Corpus" @default.
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- W2939020069 doi "https://doi.org/10.1007/978-3-030-14118-9_53" @default.
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