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Microphone Array Speech Processing

  1. Shooter localization in a wireless network of microphones is studied. Both the acoustic muzzle blast (MB) from the gunfire and the ballistic shock wave (SW) from the bullet can be detected by the microphones a...

    Authors: David Lindgren, Olof Wilsson, Fredrik Gustafsson and Hans Habberstad
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:690732
  2. This paper proposes a frequency domain diversity approach for two or more microphone signals, for example, for in-car applications. The microphones should be positioned separately to insure diverse signal cond...

    Authors: Jürgen Freudenberger, Sebastian Stenzel (EURASIP Member) and Benjamin Venditti (EURASIP Member)
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:509541
  3. We conduct an objective analysis on musical noise generated by two methods of integrating microphone array signal processing and spectral subtraction. To obtain better noise reduction, methods of integrating m...

    Authors: Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano and Kazunobu Kondo
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:431347
  4. This paper proposes a novel weighting algorithm for Cross-power Spectrum Phase (CSP) analysis to improve the accuracy of direction of arrival (DOA) estimation for beamforming in a noisy environment. Our sound ...

    Authors: Osamu Ichikawa, Takashi Fukuda and Masafumi Nishimura
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:358729
  5. Frequency-Invariant (FI) beamforming is a well known array signal processing technique used in many applications. In this paper, an algorithm that attempts to optimize the frequency invariant beampattern solel...

    Authors: Xin Zhang, Wee Ser, Zhang Zhang and AnoopKumar Krishna
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:678306