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Language Identification: A Tutorial
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AI
DOI：10.1109/MCAS.2011.941081.png)
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Abstract
En 中文
This tutorial presents an overview of the progression of spoken language identification (LID) systems and current developments. The introduction provides a background on automatic language identification systems using syntactic, morphological, and in particular, acoustic, phonetic, phonotactic and prosodic level information. Different front-end features that are used in LID systems are presented. Several normalization and language modelling techniques have also been presented. We also discuss different LID system architectures that embrace a variety of front-ends and back-ends, and configurations such as hierarchical and fusion classifiers. Evaluations of the LID system are presented using NIST language recognition evaluation tasks.
Keywords:
Tutorials
Identifications
Mel frequency cepstral coefficient
Speech recognition
Automatic speech recognition
Journal
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