Late reverberant power spectral density estimation based on an eigenvalue decomposition - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Ina Kodrasi, Simon Doclo. Late reverberant power spectral density estimation based on an eigenvalue decomposition. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017. pages 611-615, IEEE, 2017. [doi]

The following publications are possibly variants of this publication:

Analysis of Eigenvalue Decomposition-Based Late Reverberation Power Spectral Density EstimationIna Kodrasi, Simon Doclo. taslp, 26(6):1102-1114, 2018. [doi]

Complexity Reduction of Eigenvalue Decomposition-Based Diffuse Power Spectral Density Estimators Using the Power MethodMarvin Tammen, Ina Kodrasi, Simon Doclo. icassp 2018: 451-455 [doi]

Multi-Channel late reverberation power spectral density estimation based on nuclear norm minimizationIna Kodrasi, Simon Doclo. waspaa 2017: 101-105 [doi]

Late reverberant spectral variance estimation using acoustic channel equalizationBenjamin Cauchi, Patrick A. Naylor, Timo Gerkmann, Simon Doclo, Stefan Goetze. eusipco 2015: 2481-2485 [doi]

Single-channel Late Reverberation Power Spectral Density Estimation Using Denoising AutoencodersIna Kodrasi, Hervé Bourlard. interspeech 2018: 1319-1323 [doi]

Joint Late Reverberation and Noise Power Spectral Density Estimation in a Spatially Homogeneous Noise FieldIna Kodrasi, Simon Doclo. icassp 2018: 441-445 [doi]

runs on WebDSL