Building and Evaluation of a Real Room Impulse Response Dataset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134156" target="_blank" >RIV/00216305:26230/19:PU134156 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8717722" target="_blank" >https://ieeexplore.ieee.org/document/8717722</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JSTSP.2019.2917582" target="_blank" >10.1109/JSTSP.2019.2917582</a>
Alternative languages
Result language
angličtina
Original language name
Building and Evaluation of a Real Room Impulse Response Dataset
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE J-STSP
ISSN
1932-4553
e-ISSN
1941-0484
Volume of the periodical
13
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
863-876
UT code for WoS article
000477715300008
EID of the result in the Scopus database
2-s2.0-85069914610