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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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