5 citations · 6 across the 5 of their papers we have counts for
5 papers
Multi-Teacher Language-Aware Knowledge Distillation for Multilingual Speech Emotion Recognition
Mehedi Hasan Bijoy, Dejan Porjazovski, Tamás Grósz +1
Speech Emotion Recognition (SER) is crucial for improving human-computer interaction. Despite strides in monolingual SER, extending them to build a multilingual system remains chal…
Out-of-distribution generalisation in spoken language understanding
Dejan Porjazovski, Anssi Moisio, Mikko Kurimo
Test data is said to be out-of-distribution (OOD) when it unexpectedly differs from the training data, a common challenge in real-world use cases of machine learning. Although OOD…
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…
Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks
Anssi Moisio, Dejan Porjazovski, Aku Rouhe +5
The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The c…