@InProceedings{Herglotz2011_7,
<br/>   author = {Christian Herglotz and Marco Jeub and Christoph Nelke and Christophe Beaugeant and Peter Vary},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2011.},
<br/>   title = {Evaluation of single- and dual-channel noise power spectral density estimation algorithms for mobile phones},
<br/>   year = {2011},
<br/>   editor = {Bernd J. Kröger and Peter Birkholz},
<br/>   month = mar,
<br/>   pages = {13--22},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {Noise suppression has become a standard option for high end mobile phones. One essential component for most of these algorithms is the estimation of the noise power spectral density (PSD) of the unwanted background noise. A large number of single and dual-channel approaches that exploit a large variety of different signal properties have been presented in literature. So far, a comprehensive evaluation of these approaches in realistic and reproducible situations does not exist. In this contribution, the performance of well-known as well as recently proposed noise PSD estimators is analyzed with respect to an integration in dual-microphone mobile phones. Additionally, a new algorithm is proposed which exploits explicitly the dual-microphone configuration of state-of-the-art mobile phones and smartphones.},
<br/>   isbn = {978-3-942710-37-4},
<br/>   issn = {0940-6832},
<br/>   keywords = {Sprachsignalverarbeitung, Spracherkennung und Sprachsynthese I},
<br/>   url = {https://www.essv.de/pdf/2011_13_22.pdf},
<br/>}