Abstract
This paper presents LIMA, the Language Identification for Multilingual ASR, which is a web-based parameterisable spoken language identification framework. LIMA is a novel system which facilitates a personalised experience for the user who can tailor the system to evaluate different LID techniques with varied parameterisations across a range of languages. A number of standard LID techniques have been implemented in the system, together with a novel technique based on unique n-phones. By way of illustration of the system, evaluation results for one particular parameterisation of the system are presented.
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Zahra, A., Carson-Berndsen, J. (2013). LIMA: A Spoken Language Identification Framework. In: Železný, M., Habernal, I., Ronzhin, A. (eds) Speech and Computer. SPECOM 2013. Lecture Notes in Computer Science(), vol 8113. Springer, Cham. https://doi.org/10.1007/978-3-319-01931-4_26
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DOI: https://doi.org/10.1007/978-3-319-01931-4_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01930-7
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