Audio fingerprinting robust against reverberation and noise based on quantification of sinusoidality

@article{Shibuya2013AudioFR,
  title={Audio fingerprinting robust against reverberation and noise based on quantification of sinusoidality},
  author={Takashi Shibuya and Mototsugu Abe and Masayuki Nishiguchi},
  journal={2013 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2013},
  pages={1-6}
}
The implementation of second-screen service requires a technology for quick, accurate content identification. This enables the service to trace the channel of a broadcast program that a user is watching or listening to. One approach is to record an audio signal from the user's mobile device, and match it with one in a reference database. However, reverberation and exogenous noise distort a recorded audio signal, making accurate identification more difficult. This paper presents a new… CONTINUE READING

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Key Quantitative Results

  • Experimental results show that the method can match a 5-s-long input signal against 792 hours of reference signals in 1.29 s on a single PC, and can identify the correct program with a recall of over 92% and a precision of 100% in a realistic setting.

References

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Haitsma and T. Kalker , " A highly robust audio fingerprinting system

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