Abstract
In this chapter, we study the signal enhancement problem in the convenient short-time Fourier transform (STFT) domain. Contrary to most conventional approaches, we do not assume here that successive STFT frames are uncorrelated. As a consequence, the interframe correlation is now taken into account and a filter is used in each subband instead of just a gain to enhance the noisy signal. We show how to apply some of the concepts of variable span (VS) linear filtering to this problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
J. Benesty, J. Chen, Y. Huang, and I. Cohen, Noise Reduction in Speech Processing. Berlin, Germany: Springer-Verlag, 2009
J. Benesty, J. Chen, and E. Habets, Speech Enhancement in the STFT Domain. Springer Briefs in Electrical and Computer Engineering, 2011
J. N. Franklin, Matrix Theory. Englewood Cliffs, NJ: Prentice-Hall, 1968
H.-G. Hirsch, and D. Pearce, “The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions,” in Proc. ISCA Tutorialand Research Workshop ASR2000, 2000
J. S. Sohn, N. S. Kim, and W. Sung, “A statistical model-based voice activity detection,” IEEE Signal Process. Letters, vol. 6, pp. 1–3, Jan. 1999
R. Martin, “Noise power spectral density estimation based on optimal smoothing and minimum statistics,” IEEE Trans. Speech Audio Process., vol. 9, pp. 504–512, Jul. 2001
T. Gerkmann and R. Hendriks, “Unbiased MMSE-based noise power estimation with low complexity and low tracking delay,” IEEE Trans. Audio, Speech, Language Process., vol. 20, pp. 1383–1393, May 2012
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this chapter
Cite this chapter
Benesty, J., Christensen, M.G., Jensen, J.R. (2016). Single-Channel Signal Enhancement in the STFT Domain. In: Signal Enhancement with Variable Span Linear Filters. Springer Topics in Signal Processing, vol 7. Springer, Singapore. https://doi.org/10.1007/978-981-287-739-0_4
Download citation
DOI: https://doi.org/10.1007/978-981-287-739-0_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-287-738-3
Online ISBN: 978-981-287-739-0
eBook Packages: EngineeringEngineering (R0)