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SZŐKE, I. SKÁCEL, M. MOŠNER, L. PALIESEK, J. ČERNOCKÝ, J.
Originální název
Building and Evaluation of a Real Room Impulse Response Dataset
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
This paper presents BUT ReverbDB - a dataset of real room impulse responses (RIR), background noises and re-transmitted speech data. The retransmitted data includes LibriSpeech test-clean, 2000 HUB5 English evaluation and part of 2010 NIST Speaker Recognition Evaluation datasets. We provide a detailed description of RIR collection (hardware, software, post-processing) that can serve as a "cook-book" for similar efforts. We also validate BUT ReverbDB in two sets of automatic speech recognition (ASR) experiments and draw conclusions for augmenting ASR training data with real and artificially generated RIRs. We show that a limited number of real RIRs, carefully selected to match the target environment, provide results comparable to a large number of artificially generated RIRs, and that both sets can be combined to achieve the best ASR results. The dataset is distributed for free under a non-restrictive license and it currently contains data from 8 rooms, which is growing. The distribution package also contains a Kaldi-based recipe for augmenting publicly available AMI close-talk meeting data and test the results on an AMI single distant microphone set, allowing it to reproduce our experiments.
Klíčová slova
far-field, automatic speech recognition, room impulse response, reverberation, SineSweep, Maximum Length Sequence, noise, deep neural network, Kaldi, AMI
Autoři
SZŐKE, I.; SKÁCEL, M.; MOŠNER, L.; PALIESEK, J.; ČERNOCKÝ, J.
Vydáno
17. 5. 2019
ISSN
1932-4553
Periodikum
IEEE J-STSP
Ročník
13
Číslo
4
Stát
Spojené státy americké
Strany od
863
Strany do
876
Strany počet
14
URL
https://ieeexplore.ieee.org/document/8717722
BibTex
@article{BUT159973, author="Igor {Szőke} and Miroslav {Skácel} and Ladislav {Mošner} and Jakub {Paliesek} and Jan {Černocký}", title="Building and Evaluation of a Real Room Impulse Response Dataset", journal="IEEE J-STSP", year="2019", volume="13", number="4", pages="863--876", doi="10.1109/JSTSP.2019.2917582", issn="1932-4553", url="https://ieeexplore.ieee.org/document/8717722" }