Robust minimum statistics project coefficients feature for acoustic environment recognition

@article{Deng2014RobustMS,
  title={Robust minimum statistics project coefficients feature for acoustic environment recognition},
  author={Shiwen Deng and Jiqing Han and Chaozhu Zhang and Tieran Zheng and Guibin Zheng},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={8232-8236}
}
Acoustic environment recognition has been widely used in many applications, and is a considerable difficult problem for the real-life and complex environment. This paper proposes a novel feature, named minimum statistics project coefficients (MSPC), and intents to solve this problem. The MSPC feature is extracted from the background sound which is more robust than the foreground sound for the task of acoustic environment recognition. Experimental results show the outstanding performance of the… CONTINUE READING
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