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Applications of Signal Processing to Audio and Acoustics, 2005. IEEE Workshop on

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Applications of Signal Processing to Audio and Acoustics, 2005. IEEE Workshop on

Date 16-19 Oct. 2005

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Title History

Description of audio examples accompanying "the binaural display of clouds of point sources"

DESPRIT - histogram based blind source separation of more sources than sensors using subspace methods

Blind source separation of 3-D located many speech signals

Evaluation of a self-generator method for initial filters of SIMO-ICA applied to blind separation of binaural sound mixtures

Latent variable decomposition of spectrograms for single channel speaker separation

A comparative study on time delay estimation in reverberant and noisy environments

Beamforming for moving source speech enhancement

A subband modelling approach to the enhancement of speech captured in reverberant acoustic environments: MIMO case

A decision-making framework for acoustic echo cancellation

Nonlinear acoustic echo canceller with DABNET + FIR structure

Bayesian regularization and nonnegative deconvolution (BRAND) for acoustic echo cancellation

An adaptive Kalman filter for the enhancement of speech signals in colored noise

Compensating the STI to predict intelligibility for amplitude-compressed speech

A model of speech intelligibility and quality in hearing aids

Distortion of interaural time cues by directional noise reduction systems in modern digital hearing aids

Acoustic signal processing for the flat world

Speech enhancement based on transient speech information

Reliable a posteriori signal-to-noise ratio features selection

Extension of the multi-channel Wiener filter with ITD cues for noise reduction in binaural hearing aids

A low-complexity doubletalk detector for acoustic echo cancellers in packet-based telephony

Maximum likelihood approach for blind audio source separation using time-frequency Gaussian source models

Separation and robust recognition of noisy, convolutive speech mixtures using time-frequency masking and missing data techniques

On real and complex valued ℓ₁-norm minimization for overcomplete blind source separation

One microphone singing voice separation using source-adapted models

Harmonicity based dereverberation with maximum a posteriori estimation

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