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NIST Language I-vector Machine Learning Challenge

NIST Language I-vector Machine Learning Challenge

This repository contains source code for the experiments in a paper titled A Semisupervised Approach for Language Identification based on Ladder Networks

In 2015 NIST conducted a LRE i-vector challenge . The challenge was to identify which language is spoken from a speech sample, given that the language belongs to one of 50 given language or is one of out-of-set languages. The speech samples were already processed into i-vectors and duration information. The data was split into training , dev and test . The training data included labeled samples from the 50 given languages. The dev data included unlabeled samples from both the 50 given languages and the out-of-set languages. The test was similar to dev but it could have been only used for making submissions to the competition.

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