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ŽMOLÍKOVÁ, K. DELCROIX, M. KINOSHITA, K. OCHIAI, T. NAKATANI, T. BURGET, L. ČERNOCKÝ, J.
Original Title
SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures
Type
journal article in Web of Science
Language
English
Original Abstract
The processing of speech corrupted by interfering overlapping speakers is one of the challenging problems with regards to todays automatic speech recognition systems. Recently, approaches based on deep learning have made great progress toward solving this problem. Most of these approaches tackle the problem as speech separation, i.e., they blindly recover all the speakers from the mixture. In some scenarios, such as smart personal devices, we may however be interested in recovering one target speaker froma mixture. In this paper, we introduce Speaker- Beam, a method for extracting a target speaker from the mixture based on an adaptation utterance spoken by the target speaker. Formulating the problem as speaker extraction avoids certain issues such as label permutation and the need to determine the number of speakers in the mixture.With SpeakerBeam, we jointly learn to extract a representation from the adaptation utterance characterizing the target speaker and to use this representation to extract the speaker. We explore several ways to do this, mostly inspired by speaker adaptation in acoustic models for automatic speech recognition. We evaluate the performance on the widely used WSJ0-2mix andWSJ0-3mix datasets, and these datasets modified with more noise or more realistic overlapping patterns. We further analyze the learned behavior by exploring the speaker representations and assessing the effect of the length of the adaptation data. The results show the benefit of including speaker information in the processing and the effectiveness of the proposed method.
Keywords
Speaker extraction, speaker-aware neural network, multi-speaker speech recognition.
Authors
ŽMOLÍKOVÁ, K.; DELCROIX, M.; KINOSHITA, K.; OCHIAI, T.; NAKATANI, T.; BURGET, L.; ČERNOCKÝ, J.
Released
13. 6. 2019
ISBN
1932-4553
Periodical
IEEE J-STSP
Year of study
13
Number
4
State
United States of America
Pages from
800
Pages to
814
Pages count
15
URL
https://ieeexplore.ieee.org/document/8736286
BibTex
@article{BUT159990, author="ŽMOLÍKOVÁ, K. and DELCROIX, M. and KINOSHITA, K. and OCHIAI, T. and NAKATANI, T. and BURGET, L. and ČERNOCKÝ, J.", title="SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures", journal="IEEE J-STSP", year="2019", volume="13", number="4", pages="800--814", doi="10.1109/JSTSP.2019.2922820", issn="1932-4553", url="https://ieeexplore.ieee.org/document/8736286" }