Speech Hashing Algorithm Based on Short-Time Stability

Authors:
Ning Chen;Wang-Gen Wan
Affiliations:
School of Communication and Information Engineering, Shanghai University, Shanghai, China 200072;School of Communication and Information Engineering, Shanghai University, Shanghai, China 200072
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Year:
2009

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Abstract

The performance of a perceptual hashing system, which is often measured by discrimination and robustness, is directly related to the features that the system extracts. In this letter, a new speech hashing scheme based on short-time stability is presented. The characteristic of natural speech that the principal components of linear prediction coefficients among neighboring frames tend to be very similar is utilized to generate the hash sequence. Experimental results demonstrate the effectiveness of the proposed scheme in terms of discrimination and robustness.