Speech biological Hash retrieval algorithm based on Lu's feature security template

To improve the protection of speech features and the diversity of biological Hash construction process，and address the problem that the existing speech biological Hash retrieval algorithm could not form effective protection of speech features due to the single Hash construction process，a speech biological Hash retrieval algorithm based on Lu's feature security template was proposed．First，gammatone cepstral coefficient (GTCC) algorithm was used to extract the audio features of the original speech，and Toeplitz and cyclic measurement matrix were used to reduce the dimension of the audio features．Then，the dimensionally reduced feature vectors were processed differentially and classified by support vector machine (SVM)．According to the classification results，one to one corresponding key was generated，and the key was used as the initial value of Lu's chaos mapping to construct the Lu's feature security template of corresponding key． Finally，the feature vectors after dimensionality reduction were quantized by the corresponding Lu's feature security template to obtain the biological Hash．Experimental results show that the proposed security template can improve the security and diversity of the biological Hash construction process． Meanwhile，the biological Hash generated by the security template has good differentiation and robustness，and can maintain the retrieval of operational speech for volume adjustment，filtering，resample and format compression． © 2023 Huazhong University of Science and Technology. All rights reserved.