A new temporal method for the identification of source directions in a reverberant hall

Optimization of a spherical microphone array geometry for localizing acoustic sources using the generalized cross-correlation technique

“…In a workplace such as an industrial hall or machine shop, the number of sources is highly variable and can be distributed over all directions around the worker, therefore acoustic intensimetry and planar microphone arrays are not appropriate. Noël et al [11] proposed a 15-channel spherical microphone array to detect acoustic sources in an industrial hall relying on a localization technique based on the cross-correlation functions of the microphone signals, which is similar to a time domain beamforming, and the resolution of an inverse problem. Similar works have been performed either to improve the computation time of the inverse problem or the performance of the Generalized Cross-Correlation (GCC) technique [12,13].…”

Automatic environmental noise source classification model using fuzzy logic

“…Adaptive information systems are another research area using environmental noise classification, since the environmental noise can provide a rich source of information about the current context. Different methods and algorithms are developed for identifying noise sources (Abdou & Guy, 1996;Kenji, Masatsugu, & Yoichi, 2004;Lan & Chiu, 2008;Noël, Planeau, & Habault, 2006;Yang, Wang, Hao, Shen, & Qi, 2009;Zhang, Gan, & Zhou, 2006). While one group of studies focuses on the extraction of the feature parameters, the other group of studies focuses on the classification techniques such as Hidden Markov model (HMM), statistical pattern recognition systems, neural networks, and fuzzy logic systems.…”

The effects of non-cardioid directivity on incidence angle estimation using the polar energy time curve

“…Noël et al added additional complexity to the microphone arrangement. 6 Gover et al introduced an alternative scheme involving 32-microphone spherical arrays with a beamforming algorithm to determine directions of arrivals. [7][8][9] Abdou et al used intensity measurements to characterize directional room response characteristics, 10 while Essert 11 and Farina et al 12,13 employed ambisonic microphone arrays with intensity-based schemes.…”