Evaluating Performance of Pre-trained Word Embeddings on Assamese, a Low-resource Language

Intent Classification Using Pre-trained Language Agnostic Embeddings For Low Resource Languages

Building Spoken Language Understanding (SLU) systems that do not rely on language specific Automatic

Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings

We introduce a new approach, the ContrastiveTransformer, that produces acoustic word embeddings (AWE

Enhancing Multi-Label News Text Classification for an Understudied Language: A Comprehensive Study on CNN Performance and Pre-Trained Word Embeddings

Today's news texts are classified using a multi-label system, which allows for the assignment of a p

Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Models

IEEE ICASSP 2023 Conference, Hybrid Event, 4-10 June 2023, Rhodes Island, Greece Given the strong re

Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models

Given the strong results of self-supervised models on various tasks, there have been surprisingly fe

African Pre-Trained Embeddings [NLP]

A first set of African Language Embeddings

• Word Embeddings