Comparison of One- and Two-Channel Noise-Estimation Techniques

Autoren: J. Bitzer, K.U. Simmer, K.-D. Kammeyer
Kurzfassung: In this paper we are comparing several one-channel and two-channel noise-estimation techniques. We are focussing on their estimation features in a non-stationary noisy environment while a speech signal is present, as this is one of the unsolved problems for spectral subtraction algorithms. All one-channel solutions make use of the different statistics of speech and unwanted noise. The two-channel algorithms use the spatial characteristics of the noise field in order to estimate the power spectral densities (PSD). First we will briefly describe existing algorithms, then we will introduce a new one, which is related to the one proposed by Gierl. Furthermore, we will introduce different error-criteria to compare the algorithm's capabilities to follow the actual noise-spectrum.
Dokumenttyp: Konferenzbeitrag
Veröffentlichung: London, U.K., 11. - 12. September 1997
Konferenz: 5th International Workshop on Acoustic Echo and NoiseControl (IWAENC 97)
Seiten: 17-20
Volume: 1
Index: 60
Paper KB
Zuletzt aktualisiert am 29.04.2008 von C. Bockelmann
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