3 papers
eess.AS2025
DeCRED: Decoder-Centric Regularization for Encoder-Decoder Based Speech Recognition
Alexander Polok, Santosh Kesiraju, Karel Beneš +3
This paper presents a simple yet effective regularization for the internal language model induced by the decoder in encoder-decoder ASR models, thereby improving robustness and gen…
cs.CL2025
BenCzechMark : A Czech-centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism
Martin Fajcik, Martin Docekal, Jan Dolezal +15
We present BenCzechMark (BCM), the first comprehensive Czech language benchmark designed for large language models, offering diverse tasks, multiple task formats, and multiple eval…
eess.AS2024
Improving Automatic Speech Recognition with Decoder-Centric Regularisation in Encoder-Decoder Models
Alexander Polok, Santosh Kesiraju, Karel Beneš +2
This paper proposes a simple yet effective way of regularising the encoder-decoder-based automatic speech recognition (ASR) models that enhance the robustness of the model and impr…