Near-field Localization of Audio: A Maximum Likelihood Approach

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Localization of audio sources using microphone arrays has been an important research problem for more than two decades. Many traditional methods for solving the problem are based on a two-stage procedure: first, information about the audio source, such as time differences-of-arrival (TDOAs) and gain ratios-of-arrival (GROAs) between microphones is estimated, and, second, this knowledge is used to localize the audio source. These methods often have a low computational complexity, but this comes at the cost of a limited estimation accuracy. Therefore, we propose a new localization approach, where the desired signal is modeled using TDOAs and GROAs, which are determined by the source location. This facilitates the derivation of one-stage, maximum likelihood methods under a white Gaussian noise assumption that is applicable in both near- and far-field scenarios. Simulations show that the proposed method is statistically efficient and outperforms state-of-the-art estimators in most scenarios, involving both synthetic and real data.
Titel2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014)
Antal sider5
Publikationsdatosep. 2014
ISBN (Trykt)9781479946037
StatusUdgivet - sep. 2014
BegivenhedEuropean Signal Processing Conference (EUSIPCO) - Lisbon, Portugal
Varighed: 1 sep. 20145 sep. 2014


KonferenceEuropean Signal Processing Conference (EUSIPCO)


  • audio localization
  • microphone array
  • maximum likelihood
  • near-field
  • time difference-of-arrival
  • gain ratio-of-arrival


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