Abstract
This chapter summarizes our work on speech enhancement in the STFT domain and gives some perspectives.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
R. Martin, Noise power spectral density estimation based on optimal smoothing and minimum statistics. IEEE Trans. Speech Audio Process. 9, 504–512 (2001)
I. Cohen, Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging. IEEE Trans. Speech Audio Process. 11, 466–475 (2003)
R.C. Hendriks, R. Heusdens, J. Jensen, MMSE based noise PSD tracking with low complexity, in Proceedings IEEE ICASSP, (2010), pp. 4266–4269
M. Souden, J. Chen, J. Benesty, S. Affes, Gaussian model-based multichannel speech presence probability. IEEE Trans. Audio Speech Lang. Process. 18, 1072–1077 (2010)
M. Souden, J. Chen, J. Benesty, S. Affes, An integrated solution for online multichannel noise tracking and reduction. IEEE Trans. Audio Speech Lang. Process. (2011)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 The Author(s)
About this chapter
Cite this chapter
Benesty, J., Chen, J., Habets, E.A.P. (2012). Summary and Perspectives. In: Speech Enhancement in the STFT Domain. SpringerBriefs in Electrical and Computer Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23250-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-23250-3_7
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23249-7
Online ISBN: 978-3-642-23250-3
eBook Packages: EngineeringEngineering (R0)