Automatic Language Identification (ALI) is the problem of automatically identifying the language of an utterance through the use of a computer. In 1977, House and Neuburg proposed an approach to ALI which focused on the phonotactic constraints of different languages. Their work suggested that simple language models could be used effectively for language identification if an accurate phonetic representation of an utterance could be obtained from the acoustic signal. Our research utilizes House and Neuburg's ideas as the starting point for a new segment-based approach to ALI. To develop a solid theoretical basis for the design of an ALI system, a formal probabilistic framework has been developed. This framework uses House and Neuburg's ideas as its foundation but also utilizes additional information that may be useful for ALI. Specifically, phonotactic, acoustic and prosodic information are all incorporated into the framework which provides the structure for the segment-based system. To ...
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