Fast approximations to positive time-frequency distributions, with applications

Loughlin, Patrick J.; Pitton, J.W.; Hannaford, Blake

doi:10.1109/icassp.1995.480404

Cited by 4 publications

(1 citation statement)

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“…An alternative estimator is given in [15] and [16] where it is shown that a minimax cross-entropy estimate of the squared magnitude TF distribution can be found as the minimum value of a set of M squared magnitude TF distributions at each (k, i) coordinate :…”

Section: Setting the Filter Coefficients For A Time-varying Filtermentioning

confidence: 99%

Adaptive Time-Frequency Analysis for Noise Reduction in an Audio Filter Bank With Low Delay

Andersen

Moonen

2016

IEEE/ACM Trans. Audio Speech Lang. Process.

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In this paper, an adaptive time-frequency analysis scheme is proposed along with a synthesis scheme using an asymmetric window. The proposed scheme is suitable for audio noise reduction with a low delay in the range of 0 to 4 ms. The main novelty of the paper is the adaptive analysis scheme that can adapt to the incoming signal independently in both time and frequency by employing a complex filter on a DFT modulated filter bank. A number of adaptive time-frequency schemes are described that are suitable for low delay and low computational complexity. The adaptive time-frequency scheme is used for the computation of noise reduction gain factors, which are then adopted in a nonadaptive analysis/synthesis scheme. The synthesis scheme uses an asymmetric window to achieve a good tradeoff between low delay and a sharp frequency response. Examples are given of the adaptive analysis and measurements of the synthesis scheme are given to show that the filter bank has a gain dependent nonlinear phase response. Finally, a noise reduction task is performed that shows good performance compared to reference implementations in terms of segmental SNR and PESQ.

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Section: Setting the Filter Coefficients For A Time-varying Filtermentioning

confidence: 99%