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In this paper, a novel post-filtering method applied after the logSTSA filter is proposed. Since the post-filter is derived from vector quantization of clean speech database, it has an equivalent effect of imposing clean source spectral constraints on the enhanced speech. When combined with the logSTSA filter, the additional filter can noticeably suppress(More)
This paper presents a system approach to the acoustic echo cancellation (AEC) problem in a noisy acoustic environment. We propose a method that makes use of the estimated near-end signal from a postfilter to further improve the AEC system performance. The cancellation performance is enhanced especially during strong near-end interference (e.g., double(More)
This paper presents a novel decorrelation procedure by frequency-domain resampling in sub-bands. The new procedure expands on the idea of resampling in the frequency domain that efficiently and effectively alleviates the non-uniqueness problem for a multi-channel acoustic echo cancellation system while introducing minimal distortion to the signal. We show(More)
An inter-channel decorrelation procedure via resampling in the frequency domain for multi-channel acoustic echo cancellation (MCAEC) based on residual echo enhancement is proposed. The objective is to efficiently alleviate the non-uniqueness problem while introducing minimal distortion to the audio quality and the signal statistics. The effectiveness is(More)
This paper examines the effect of inter-channel decorrelation by sub-band resampling (SBR) on the performance of the robust acoustic echo cancellation (AEC) system based on the residual echo enhancement technique. Due to the flexibility of SBR, the decorrelation performance as measured by the coherence can be matched with other conventional decorrelation(More)
An inter-channel decorrelation procedure is highly recommended for multi-channel acoustic echo cancellation (AEC) to directly assist adaptive filtering algorithms in overcoming the so-called “non-uniqueness” problem. Although various methods have been proposed in the past to mitigate the problem and lower the misalignment of the adaptive(More)
This paper presents a system approach to the residual echo suppression (RES) problem in a noisy acoustic environment. We propose a method that takes advantage of our existing robust acoustic echo cancellation system in order to obtain a residual echo estimate that closely resembles the true, noise-free residual echo. To achieve improved RES during strong(More)
In this paper, we propose a formal methodology for tuning the parameters of a single-microphone speech enhancement system for hands-free devices. The tuning problem is formulated as a largescale nonlinear programming problem that is solved by a genetic algorithm to determine the global solution. A conversational speech database is automatically generated by(More)
In this paper, we propose a single channel speech enhancement system where a postfilter, which is derived from a clean speech codebook, is applied after a log-spectral amplitude estimator. The primary motivation of this approach is to include prior knowledge about clean source signals to improve speech enhancement results. The codebook, which is trained(More)