4 citations · 4 across the 10 of their papers we have counts for
15 papers
S-DiverSe: Spanish Diverse Speech
Fernando López, Fernando Ibañez, Ana Martínez +4
Automatic speech recognition (ASR) has advanced remarkably for standard speech, yet speech affected by neurological conditions remains a challenge. We present S-DiverSe (Spanish Di…
FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition
Fernando López, Santosh Kesiraju, Jordi Luque
Automatic speech recognition (ASR) has advanced remarkably for standard speech; however, pathological speech from neurological conditions remains a significant challenge. We invest…
FLiP: Towards understanding and interpreting multimodal multilingual sentence embeddings
Santosh Kesiraju, Bolaji Yusuf, Šimon Sedláček +2
This paper presents factorized linear projection (FLiP) models for understanding pretrained sentence embedding spaces. We train FLiP models to recover the lexical content from mult…
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…
End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data
Aishwarya Pothula, Bhavana Akkiraju, Srihari Bandarupalli +3
The scarcity of high-quality annotated data presents a significant challenge in developing effective end-to-end speech-to-text translation (ST) systems, particularly for low-resour…
Factors affecting the in-context learning abilities of LLMs for dialogue state tracking
Pradyoth Hegde, Santosh Kesiraju, Jan Švec +5
This study explores the application of in-context learning (ICL) to the dialogue state tracking (DST) problem and investigates the factors that influence its effectiveness. We use…