6 citations · 21 across the 24 of their papers we have counts for
5 papers · 1 filter
Integration of variational autoencoder and spatial clustering for adaptive multi-channel neural speech separation
Katerina Zmolikova, Marc Delcroix, Lukáš Burget +2
In this paper, we propose a method combining variational autoencoder model of speech with a spatial clustering approach for multi-channel speech separation. The advantage of integr…
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery
Bolaji Yusuf, Lucas Ondel, Lukas Burget +2
In this work, we propose a hierarchical subspace model for acoustic unit discovery. In this approach, we frame the task as one of learning embeddings on a low-dimensional phonetic…
A Technical Report: BUT Speech Translation Systems
Hari Krishna Vydana, Lukas Burget, Jan Cernocky
The paper describes the BUT's speech translation systems. The systems are EnglishGerman offline speech translation systems. The systems are based on our previous w…
Jointly Trained Transformers models for Spoken Language Translation
Hari Krishna Vydana, Martin Karafi'at, Katerina Zmolikova +2
Conventional spoken language translation (SLT) systems are pipeline based systems, where we have an Automatic Speech Recognition (ASR) system to convert the modality of source from…
BUT Opensat 2019 Speech Recognition System
Martin Karafiát, Murali Karthick Baskar, Igor Szöke +3
The paper describes the BUT Automatic Speech Recognition (ASR) systems submitted for OpenSAT evaluations under two domain categories such as low resourced languages and public safe…