Christian Salamea

Phonotactic Language Recognition Using A Universal Phoneme Recognizer and A Transformer Architecture

In this paper, we describe a phonotactic language recognition model that effectively manages long and short n-gram input sequences to learn contextual phonotactic-based vector embeddings. Our approach uses a transformer-based encoder that integrates a sliding window attention to attempt finding disc…