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BEA-Base: A Benchmark for ASR of Spontaneous Hungarian

BEA-Base: A Benchmark for ASR of Spontaneous Hungarian

International Conference on Language Resources and Evaluation (LREC), 2022
1 February 2022
P. Mihajlik
A. Balog
T. E. Gráczi
A. Kohári
Balázs Tarján
K. Mády
ArXiv (abs)PDFHTML

Papers citing "BEA-Base: A Benchmark for ASR of Spontaneous Hungarian"

1 / 1 papers shown
Title
MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation
  Model Training on EU Languages
MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Marco Gaido
Sara Papi
L. Bentivogli
Alessio Brutti
Mauro Cettolo
R. Gretter
M. Matassoni
Mohamed Nabih
Matteo Negri
170
12
0
01 Oct 2024
1