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The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms

Dean, David B., Sridharan, Sridha, Vogt, Robert J., & Mason, Michael W. (2010) The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms. In Proceedings of Interspeech 2010, Makuhari Messe International Convention Complex, Makuhari, Japan.

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Abstract

The QUT-NOISE-TIMIT corpus consists of 600 hours of noisy speech sequences designed to enable a thorough evaluation of voice activity detection (VAD) algorithms across a wide variety of common background noise scenarios. In order to construct the final mixed-speech database, a collection of over 10 hours of background noise was conducted across 10 unique locations covering 5 common noise scenarios, to create the QUT-NOISE corpus. This background noise corpus was then mixed with speech events chosen from the TIMIT clean speech corpus over a wide variety of noise lengths, signal-to-noise ratios (SNRs) and active speech proportions to form the mixed-speech QUT-NOISE-TIMIT corpus. The evaluation of five baseline VAD systems on the QUT-NOISE-TIMIT corpus is conducted to validate the data and show that the variety of noise available will allow for better evaluation of VAD systems than existing approaches in the literature.

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ID Code: 38144
Item Type: Conference Paper
Additional Information: To download the full database, visit: https://wiki.qut.edu.au/display/saivt/QUT-NOISE-TIMIT
Additional URLs:
Keywords: voice activity detection, speech databases, evaluation protocols
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 [please consult the authors]
Deposited On: 25 Oct 2010 08:57
Last Modified: 19 Oct 2012 21:11

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