The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As one of biometric identification technologies, speaker recognition shows better application prospects in many fields. At present, the implementation of speaker recognition algorithm on the hardware is mostly based on System on a Programmable Chip(SOPC) platform of Field Programmable Gate Array(FPGA) with Nios II Intellectual Property(IP) core. And the algorithm can be selected and optimized effectively...
Speaker identification is a computationally demanding task. Particularly the stage of feature extraction, that is responsible for reducing the resources required to describe speech samples accurately requires algorithms of large complexity. State of the art speaker verification systems are based on cepstral features like MFCC, LFCC or LPCC. In these methods of features extraction the most computing...
Biometric systems, characterized by their high confidential levels of security, are usually based on high-performance microprocessors implemented on personal computers. These advanced devices contain floating-point units able to carry out millions of operations per second at frequencies in the GHz range, being qualified to resolve the most complex algorithms in just a few hundred of milliseconds....
In this work, we present a novel method for authentication based on voice biometrics. Local graphs of the pre-processed speech signal are first calculated by feature extraction and combined to form a global graph that is stored in a database for the purpose of authentication. The distance between the global graphs of the presented test speech signal and the stored reference speech signal is then calculated...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.