most citedAdvancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference

5 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing eess.ASShow all

2 papers · 1 filter

eess.AS2023★ 5 cited

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…

eess.AS2023

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…