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.
In this paper, voice signal compression (VSC) is a technique that is used to convert the voice signal into encoded form and when compression is required, it can be decoded at the closest approximation value of the original signal. This work present a new algorithm to compress voice signals by using an ldquoadaptive wavelet packet decomposition and psychoacoustic modelrdquo. The main goals of this...
In this paper, voice signal compression and spectrum analysis (VSCSA) is a technique that is used to compress transparent high quality voice signals upto 45% - 60% of the source file at low bit rate 45 kbps with same extension (i.e. .wav to .wav), then voice spectrum analysis (VSA) is started. Voice signal compression (VSC) is done by using adaptive wavelet packet a tool of MatLab for decomposition...
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.