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- Jan Ole Jungmann, Radoslaw Mazur, Markus Kallinger, Tiemin Mei, Alfred Mertins
- IEEE Transactions on Audio, Speech, and Language…
- 2012

Virtual 3-D sound can be easily delivered to a listener by binaural audio signals that are reproduced via headphones, which guarantees that only the correct signals reach the corresponding ears. Reproducing the binaural audio signal by two or more loudspeakers introduces the problems of crosstalk on the one hand, and, of reverberation on the other hand. In… (More)

- Huy Phan, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins
- INTERSPEECH
- 2015

The human auditory system is very well matched to both human speech and environmental sounds. Therefore, the question arises whether human speech material may provide useful information for training systems for analyzing nonspeech audio signals, such as in a recognition task. To find out how similar nonspeech signals are to speech, we measure the closeness… (More)

- K.W. Louie, P. Wilson, Radoslaw Mazur, Kateryna Kent, H.W. Dommel, J . Martí
- 2007 Canadian Conference on Electrical and…
- 2007

Harmonics in a power system caused by highly nonlinear devices degrade its performance. Controlling and reducing such harmonics have been a major concern of power engineers for many years. The power system harmonic analysis is the process of calculating the magnitudes and phases of the fundamental and higher order harmonics of system signals. The frequency… (More)

- Jan Ole Jungmann, Radoslaw Mazur, Alfred Mertins
- 2013 IEEE International Conference on Acoustics…
- 2013

The purpose of room impulse response reshaping is to reduce reverberation and thus to improve the perceived quality of the received signal by prefiltering the source signal before it is played with a loudspeaker. The filter design is usually carried out by solving an optimization problem. There are, in general, two possibilities to improve the robustness of… (More)

- Radoslaw Mazur, Alfred Mertins
- IEEE Transactions on Audio, Speech, and Language…
- 2009

In this paper, we present a new algorithm for solving the permutation ambiguity in convolutive blind source separation. Transformed to the frequency domain, existing algorithms can efficiently solve the reduction of the source separation problem into independent instantaneous separation in each frequency bin. However, this independency leads to the problem… (More)

- Radoslaw Mazur, Alfred Mertins
- 2009 IEEE International Conference on Acoustics…
- 2009

In this paper, we propose to use the scaling ambiguity of convolutive blind source separation for shortening the unmixing filters. An often used approach for separating convolutive mixtures is the transformation to the time-frequency domain where an instantaneous ICA algorithm can be applied for each frequency separately. This approach leads to the so… (More)

- Huy Phan, Marco Maaß, Radoslaw Mazur, Alfred Mertins
- ICME
- 2015

Audio event detection has been an active field of research in recent years. However, most of the proposed methods, if not all, analyze and detect complete events and little attention has been paid for early detection. In this paper, we present a system which enables early audio event detection in continuous audio recordings in which an event can be reliably… (More)

- Radoslaw Mazur, Alfred Mertins
- ICA
- 2009

- Radoslaw Mazur, Alfred Mertins
- 2013 IEEE Workshop on Applications of Signal…
- 2007

In this paper we propose a new clustering approach for solving the permutation ambiguity in convolutive blind source separation. After the transformation to the time-frequency domain, the problem of separation of sources can be reduced to multiple instantaneous problems, which may be solved using independent component analysis. The drawbacks of this… (More)

- Radoslaw Mazur, Alfred Mertins
- 2011 IEEE International Conference on Acoustics…
- 2011

In this paper, we present a new algorithm for solving the permutation ambiguity in convolutive blind source separation. A common approach for separation of convolutive mixtures is the transformation to the time-frequency domain, where the convolution becomes a multiplication. This allows for the use of well-known instantaneous ICA algorithms independently… (More)