6 citations · 8 across the 4 of their papers we have counts for
4 papers
Layer-Wise Analysis of Self-Supervised Acoustic Word Embeddings: A Study on Speech Emotion Recognition
Alexandra Saliba, Yuanchao Li, Ramon Sanabria +1
The efficacy of self-supervised speech models has been validated, yet the optimal utilization of their representations remains challenging across diverse tasks. In this study, we d…
Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling
Ramon Sanabria, Ondrej Klejch, Hao Tang +1
Acoustic word embeddings are typically created by training a pooling function using pairs of word-like units. For unsupervised systems, these are mined using k-nearest neighbor (KN…
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR
Ramon Sanabria, Nikolay Bogoychev, Nina Markl +3
English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many vari…
Robust end-to-end deep audiovisual speech recognition
Ramon Sanabria, Florian Metze, Fernando De La Torre
Speech is one of the most effective ways of communication among humans. Even though audio is the most common way of transmitting speech, very important information can be found in…