Title :
Normalization techniques for hiding speakers identity
Author :
Patel, Rahul ; Shrawankar, Urmila ; Thakare, V.M.
Author_Institution :
Dept. of Comput. Sci. & Eng., G.H. Raisoni Coll. of Eng., Nagpur, India
Abstract :
In most security domain transmission of secret and confidential voice data requires that the identity of the speaker should not get revealed but at the same time data contents in speech signal should be interpreted. Speech and speaker normalization techniques help to solve this issue. This paper proposes speaker normalization technique that attempts to alter the characteristics of speaker´s voice so that it would be difficult for an eavesdropper to identify the speaker. Intended listener can retrieve the particular information. Evaluations of subjective and objective tests confirm the effectiveness of the proposed method and because of this method security enhances.
Keywords :
security of data; speech processing; confidential voice data; secret voice data; security domain transmission; speaker identity hiding; speaker normalization technique; speech signal; Cepstral analysis; Frequency estimation; Histograms; Noise; Speech; Vectors; Energy normalization; Speaker normalization; frequency warping; pitch normalization; vocal tract length normalization;
Conference_Titel :
Data Science & Engineering (ICDSE), 2012 International Conference on
Conference_Location :
Cochin, Kerala
Print_ISBN :
978-1-4673-2148-8
DOI :
10.1109/ICDSE.2012.6282313