3 papers
cs.CL2026
Scaling Conversational Hungarian ASR: The BEA-Dialogue+ Corpus
Máté Gedeon, Piroska Zsófia Barta, Péter Mihajlik +1
Conversational automatic speech recognition in Hungarian is constrained by the limited amount of publicly available dialogue-style training data. The BEA-Dialogue corpus addresses…
cs.CL2026
Toward Conversational Hungarian Speech Recognition: Introducing the BEA-Large and BEA-Dialogue Datasets
Máté Gedeon, Piroska Zsófia Barta, Péter Mihajlik +3
The advancement of automatic speech recognition (ASR) has been largely enhanced by extensive datasets in high-resource languages, while languages such as Hungarian remain underrepr…
cs.SD2025
Improved Dysarthric Speech to Text Conversion via TTS Personalization
Péter Mihajlik, Ãva Székely, Piroska Barta +3
We present a case study on developing a customized speech-to-text system for a Hungarian speaker with severe dysarthria. State-of-the-art automatic speech recognition (ASR) models…