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Title: Application of noise robust MDT speech recognition on the SPEECON and SpeechDat-Car databases
Authors: Gemmeke, Jort
Wang, Yujun
Van Segbroeck, Maarten
Cranen, Bert
Van hamme, Hugo #
Issue Date: 2009
Host Document: Proceedings Interspeech2009 pages:1227-1230
Conference: Interspeech2009 - 10th annual conference of the international speech communication association location:Brighton, UK date:6-10 September 2009
Abstract: We show that the recognition accuracy of an MDT recognizer
which performs well on artificially noisified data, deteriorates
rapidly under realistic noisy conditions (using multiple
microphone recordings from the SPEECON/SpeechDat-Car
databases) and is outperformed by a commercially available
recognizer which was trained using a multi-condition paradigm.
Analysis of the recognition results indicates that the recording
channels with the lowest SNRs where theMDR recognizer fails
most, are also the channels which suffer most from room reverberation.
Despite the channel compensation measures we took,
it appears difficult to maintain the restorative power of MDT in
such non-additive noise conditions.
Description: Gemmeke J.F., Wang Y., Van Segbroeck M., Cranen B., Van hamme H., ''Application of noise robust MDT speech recognition on the SPEECON and SpeechDat-Car databases'', Proceedings Interspeech2009 - 10th annual conference of the international speech communication association, pp. 1227-1230, September 6-10, 2009, Brighton, UK.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:ESAT - PSI, Processing Speech and Images
# (joint) last author

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