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Quality assessment for listening-room compensation algorithms

: Goetze, S.; Albertin, E.; Kallinger, M.; Mertins, A.; Kammeyer, K.-D.


Douglas, S.C. ; IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2010. Proceedings. Vol.3 : 14-19 March 2010, Dallas, Texas, USA
Piscataway/NJ: IEEE, 2010
ISBN: 978-1-4244-4296-6
ISBN: 978-1-4244-4295-9
International Conference on Acoustics, Speech and Signal Processing (ICASSP) <35, 2010, Dallas/Tex.>
Fraunhofer IDMT ()
Fraunhofer IIS ()

In this contribution various objective measures that can be used to evaluate speech dereverberation algorithms by means of listeningroom compensation (LRC) are compared to subjective listening tests. It is shown that technical measures describing the impulse responses are suitable for evaluation of such algorithms. Most signal-based objective measures fail to judge the specific distortions that may be introduced by LRC algorithms like late reverberation since these artifacts are small in amplitude but perceptually relevant due to the loss of masking of the room impulse response. Only one signal-based measure, the so-called perceptual similarity measure (PSM), showed high correlation with subjective rating for the given test setup.