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@INPROCEEDINGS{cas-03-020,
  author = {Maria E. Niessen and Dirkjan J. Krijnders and Joep Boers and Tjeerd
	C. Andringa},
  title = {Assessing the reverberation level in speech},
  booktitle = {Proceedings of the 19th International Congress on Acoustics (ICA
	2007)},
  year = {2007},
  editor = {Antonio Calvo-Manzano and Antonio P?rez-L?pez and Salvador Santiago},
  pages = {cas-03-020},
  abstract = {The performance of automatic speech recognition (ASR) systems is seriously
	degraded in reverberant environments. We propose a method for assessing
	the reverberation level in speech that makes it possible to determine
	in real-time whether a speech signal is reverberant or not. Reverberation
	causes an increase in the variation of the energy and frequency of
	harmonics in speech. Speech with a variable pitch is especially affected
	by reverberation. To capture the effect of reverberation we measured
	six features on the harmonics of the speech signal, which represent
	energy and frequency variation in different ways. Speech from the
	Aurora database was artificially reverberated to demonstrate the
	validity of these features. Each feature predicted reverberation
	time for a different subset of the dataset. To test the overall separability
	of the speech samples using these features, speech from the dataset
	was automatically classified as being either inside or outside the
	reverberation radius. Most of the speech was correctly classified,
	which suggests that a reliable real-time classification algorithm
	can be developed to select good-quality speech. This algorithm can
	improve pre-processing methods, such as speech enhancement or voice
	activity detection, for more robust ASR.},
  file = {Niessen cas-03-020.pdf:/data/sound/literature/ICA 2007/Niessen cas-03-020.pdf:PDF},
  owner = {maria},
  timestamp = {2007.09.12}
}

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