11 citations · 21 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs
Šimon Sedláček, Bolaji Yusuf, Ján Švec +4
In this work, we approach spoken Dialogue State Tracking (DST) by bridging the representation spaces of speech encoders and LLMs via a small connector module, with a focus on fully…
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…
Beyond the Labels: Unveiling Text-Dependency in Paralinguistic Speech Recognition Datasets
Jan Pešán, Santosh Kesiraju, Lukáš Burget +1
Paralinguistic traits like cognitive load and emotion are increasingly recognized as pivotal areas in speech recognition research, often examined through specialized datasets like…
Detecting English Speech in the Air Traffic Control Voice Communication
Igor Szoke, Santosh Kesiraju, Ondrej Novotny +3
We launched a community platform for collecting the ATC speech world-wide in the ATCO2 project. Filtering out unseen non-English speech is one of the main components in the data pr…