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MOŠNER, L. PLCHOT, O. BURGET, L. ČERNOCKÝ, J.
Original Title
Multisv: Dataset for Far-Field Multi-Channel Speaker Verification
Type
conference paper
Language
English
Original Abstract
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 training and evaluating text-independent multi-channel speaker verification systems. It can be readily used also for experiments with dereverberation, denoising, and speech enhancement. We tackled the ever-present problem of the lack of multi-channel training data by utilizing data simulation on top of clean parts of the Voxceleb corpus. The development and evaluation trials are based on a retransmitted Voices Obscured in Complex Environmental Settings (VOiCES) corpus, which we modified to provide multi-channel trials. We publish full recipes that create the dataset from public sources as the MultiSV dataset, and we provide results with two of our multi-channel speaker verification systems with neural network-based beamforming based either on predicting ideal binary masks or the more recent Conv-TasNet.
Keywords
Multi-channel, speaker verification, MultiSV, dataset, beamforming
Authors
MOŠNER, L.; PLCHOT, O.; BURGET, L.; ČERNOCKÝ, J.
Released
27. 5. 2022
Publisher
IEEE Signal Processing Society
Location
Singapore
ISBN
978-1-6654-0540-9
Book
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages from
7977
Pages to
7981
Pages count
5
URL
https://ieeexplore.ieee.org/document/9746833
BibTex
@inproceedings{BUT178380, author="Ladislav {Mošner} and Oldřich {Plchot} and Lukáš {Burget} and Jan {Černocký}", title="Multisv: Dataset for Far-Field Multi-Channel Speaker Verification", booktitle="ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings", year="2022", pages="7977--7981", publisher="IEEE Signal Processing Society", address="Singapore", doi="10.1109/ICASSP43922.2022.9746833", isbn="978-1-6654-0540-9", url="https://ieeexplore.ieee.org/document/9746833" }