Quality Assessment for Listening-Room Compensation Algorithms

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

In this contribution various objective measures that can be used to evaluate speech dereverberation algorithms by means of listening-room 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.

Sound samples at http://www.ant.uni-bremen.de/~goetze/icassp2010/index.html

Dokumenttyp: Konferenzbeitrag
Veröffentlichung: Dallas, Texas, USA, 14. - 19. März 2010
Konferenz: IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'10)
Seiten: 2450-2453
GAKMK10_Quality_Assessment_for_LRC_Algorithms_ICASSP2010_Goetze.pdf344 KBGoetze_PosterICASSP2010.pdf685 KB
Zuletzt aktualisiert am 29.03.2010 von S. Goetze
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