33 citations · 64 across the 17 of their papers we have counts for
3 papers · 1 filter
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation
Anssi Moisio, Mathias Creutz, Mikko Kurimo
Compositional generalisation (CG), in NLP and in machine learning more generally, has been assessed mostly using artificial datasets. It is important to develop benchmarks to asses…
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference
Dejan Porjazovski, Yaroslav Getman, Tamás Grósz +1
Large pre-trained models are essential in paralinguistic systems, demonstrating effectiveness in tasks like emotion recognition and stuttering detection. In this paper, we employ l…
Topic Identification For Spontaneous Speech: Enriching Audio Features With Embedded Linguistic Information
Dejan Porjazovski, Tamás Grósz, Mikko Kurimo
Traditional topic identification solutions from audio rely on an automatic speech recognition system (ASR) to produce transcripts used as input to a text-based model. These approac…