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20172024
most citedConvolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge

44 citations · 100 across the 34 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.DC2021

Optimal Resource Scheduling and Allocation in Distributed Computing Systems

Wei Ren, Eleftherios Vlahakis, Nikolaos Athanasopoulos +1

The essence of distributed computing systems is how to schedule incoming requests and how to allocate all computing nodes to minimize both time and computation costs. In this paper…

eess.AS2021

MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification

Ladislav Mošner, Oldřich Plchot, Lukáš Burget +1

Motivated by unconsolidated data situation and the lack of a standard benchmark in the field, we complement our previous efforts and present a comprehensive corpus designed for tra…

eess.AS2021

Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model

Martin Kocour, Kateřina Žmolíková, Lucas Ondel +5

In typical multi-talker speech recognition systems, a neural network-based acoustic model predicts senone state posteriors for each speaker. These are later used by a single-talker…

cs.CL2021

The IWSLT 2021 BUT Speech Translation Systems

Hari Krishna Vydana, Martin Karafi'at, Luk'as Burget +1

The paper describes BUT's English to German offline speech translation(ST) systems developed for IWSLT2021. They are based on jointly trained Automatic Speech Recognition-Machine T…

eess.AS2021

EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition

Murali Karthick Baskar, Lukáš Burget, Shinji Watanabe +2

Self-supervised ASR-TTS models suffer in out-of-domain data conditions. Here we propose an enhanced ASR-TTS (EAT) model that incorporates two main features: 1) The ASR…

eess.AS2021

Speaker embeddings by modeling channel-wise correlations

Themos Stafylakis, Johan Rohdin, Lukas Burget

Speaker embeddings extracted with deep 2D convolutional neural networks are typically modeled as projections of first and second order statistics of channel-frequency pairs onto a…