Publications – Details
Evaluation of Single- and Dual-Channel Noise Power Spectral Density Estimation Algorithms for Mobile Phones
- Authors:
- Christian Herglotz, Marco Jeub, Christoph Matthias Nelke, Christophe Beaugeant, and Peter Vary
- Book Title:
- Konferenz Elektronische Sprachsignalverarbeitung (ESSV)
- Volume:
- 61
- Series:
- Studientexte zur Sprachkommunikation
- Venue:
- Aachen, Germany
- Event Date:
- 28.-30.9.2011
- Organization:
- ITG, DEGA
- Publisher:
- TuDPress Verlag der Wissenschaften GmbH
- Location:
- Dresden, Germany
- Date:
- Sept. 2011
- Pages:
- 13–22
- ISBN:
- 978-3-94271-037-4
- ISSN:
- 0940-6832
- Language:
- English
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.
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