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This paper presents a series of language identification (LID) experiments for Spanish and Basque. Spanish and Basque are both official languages in the Basque Country, a region located in northern Spain. We focused our research on studying several phonotactic-based methodologies, comparing both the performance of phonotactic models trained from text and audio samples and the use of phone and phone-sequences as decoding units. The results show that whereas the use of audio-based phonotactic models performs better than the text ones, when using task-specific information it is also possible to achieve great accuracies. The use of phone sequences as decoding units appears to be useful when constraining the phone decoders to those sequences.

Comparative Study of Several Phonotactic-Based Approaches to Spanish-Basque Language Identification