Jounghoon Beh

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The weakness of conventional spectral subtractive-type algorithm is identified and presented in Section 2. The proposed remedial approach is described in Section 3. In Section 4, we show the proposed method's effectiveness over conventional methods with representative experiments using Aurora 2. Concluding remarks are provided in Section 5. This paper(More)
— In this paper, a simple and effective dual channel speech enhancement algorithm is proposed. The proposed algorithm incorporates a novelty filter scheme, performing associative memory and aiming at improving the performance of the dual channel Generalized Sidelobe Canceller (GSC.) The novelty filter is demonstrated as effective for enhancing the reference(More)
This paper addresses a novel noise-compensation scheme to solve the mismatch problem between training and testing condition for the automatic speech recognition (ASR) system, specifically in car environment. The conventional spectral subtraction schemes rely on the signal-to-noise ratio (SNR) such that attenuation is imposed on that part of the spectrum(More)
— This paper proposes a two-stage algorithm to separate two sound sources by using matched beamforming and time-frequency masking techniques. At first, beamforming was used to separate the sound mixtures back to the original sources while preserving the original contents to the maximum extent. The residual interference was then suppressed by the(More)
This paper proposes the model based detection method of abnormal acoustic source using a microphone array. General source location algorithm using a microphone array can be used to locate a dominant acoustic source, while this does not verify whether the detected source is permitted one or not on outdoor environments. It is difficult to discern it among a(More)