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20202023
most citedNeural Target Speech Extraction: An Overview

120 citations · 139 across the 6 of their papers we have counts for

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eess.AS2023★ 120 cited

Neural Target Speech Extraction: An Overview

Katerina Zmolikova, Marc Delcroix, Tsubasa Ochiai +3

Humans can listen to a target speaker even in challenging acoustic conditions that have noise, reverberation, and interfering speakers. This phenomenon is known as the cocktail-par…

eess.AS2022★ 3 cited

Listen only to me! How well can target speech extraction handle false alarms?

Marc Delcroix, Keisuke Kinoshita, Tsubasa Ochiai +3

Target speech extraction (TSE) extracts the speech of a target speaker in a mixture given auxiliary clues characterizing the speaker, such as an enrollment utterance. TSE addresses…

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…

eess.AS2021★ 4 cited

Speaker activity driven neural speech extraction

Marc Delcroix, Katerina Zmolikova, Tsubasa Ochiai +2

Target speech extraction, which extracts the speech of a target speaker in a mixture given auxiliary speaker clues, has recently received increased interest. Various clues have bee…

eess.AS2020

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…

eess.AS2020

BUT System for the Second DIHARD Speech Diarization Challenge

Federico Landini, Shuai Wang, Mireia Diez +9

This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2 the systems were mainly…

eess.AS2020★ 12 cited

Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam

Marc Delcroix, Tsubasa Ochiai, Katerina Zmolikova +4

Target speech extraction, which extracts a single target source in a mixture given clues about the target speaker, has attracted increasing attention. We have recently proposed Spe…