Models for MeMAD language identification pipeline

A collection of models for MeMAD spoken language identification pipeline. Zip contains four models:

An xvector embedding model trained on 67 languages using the lidbox toolkit.A scikit-learn StandardScaler for standardizing the embedding model output before Naîve Bayes classification.A probabilistic linear discriminant analysis (PLDA) model for reducing the dimensions of the embedding vectors.A scikit-learn Naïve Bayes model for classifying embedding vectors to six categories: de, en, fi, fr, sv, x-nolang