Publications-Detail
Evaluation of Single- and Dual-Channel Noise Power Spectral Density Estimation Algorithms for Mobile Phones
- Authors:
- Herglotz, C. , Jeub, M. , Nelke, C. M. , Beaugeant, C. , Vary, P.
- Book Title:
- Konferenz Elektronische Sprachsignalverarbeitung (ESSV)
- Organization:
- ITG, DEGA
- Publisher:
- TuDPress Verlag der Wissenschaften GmbH
- Series:
- Studientexte zur Sprachkommunikation
- Volume:
- 61
- Pages:
- p.p. 13-22
- Address:
- Aachen, Germany
- Date:
- Sep. 2011
- 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.Download
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