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20192026
most citedBUT System Description for DIHARD Speech Diarization Challenge 2019

19 citations · 27 across the 20 of their papers we have counts for

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eess.AS2026

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization

Petr Pálka, Jiangyu Han, Prachi Singh +3

We propose SphereVBx, a Bayesian clustering framework for hyperspherical embeddings based on Toroidal Probabilistic Spherical Discriminant Analysis (T-PSDA). The method follows the…

eess.AS2026

Grounding Spoken LLMs in Multi-Speaker Audio via Diarization Conditioning

Alexander Polok, Samuele Cornell, Sathvik Udupa +3

We propose diarization-conditioned spoken language models (SLMs), a strategy for extending SLMs to far-field multi-talker audio. Rather than adapting the decoder via Serialized Out…

eess.AS2026

BUT System Description for CHiME-9 MCoRec Challenge

Dominik Klement, Alexander Polok, Nguyen Hai Phong +2

Multi-talker automatic speech recognition (ASR) in conversational recordings remains an open problem, particularly in scenarios with large portion of overlapping speech where ident…

eess.AS2026

On the Role of Spatial Features in Foundation-Model-Based Speaker Diarization

Marc Deegen, Tobias Gburrek, Tobias Cord-Landwehr +4

Recent advances in speaker diarization exploit large pretrained foundation models, such as WavLM, to achieve state-of-the-art performance on multiple datasets. Systems like DiariZe…

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…

eess.AS2025

BUT System for the MLC-SLM Challenge

Alexander Polok, Jiangyu Han, Dominik Klement +3

We present a two-speaker automatic speech recognition (ASR) system that combines DiCoW -- a diarization-conditioned variant of Whisper -- with DiariZen, a diarization pipeline buil…