The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 07, 1997
Filed:
Aug. 11, 1994
Sidhartha Maitra, Saratoga, CA (US);
Ashish Thanawala, Saratoga, CA (US);
Steve Young, Saratoga, CA (US);
Multi-Tech Systems, Inc., Mounds View, MN (US);
Abstract
A system for performing voice compression which includes, a conversion means for converting analog voice signals into discrete samples of digital voice data and collecting the discrete samples into segments, with a means for dividing the segments into subsegments and for producing therefrom a current voice subsegment. A pitch prediction means is used for determining the long term predicted gain of the current voice subsegment by comparing the current voice subsegment to reconstructed voice samples to produce a pitch predictor gain and a lag component and a pitch filter means is used for pitch filtering the current voice subsegment based on the pitch predictor gain and the lag component which then produces long term residual samples. The system includes a means for scaling the long term residual samples based on the peak amplitude of the long term residual samples to produce normalized long term residual samples and a means including a code book stored in a memory for locating a single memory address of a closest match between the normalized long term residual samples and the stored distinct normalized long term residual samples. The system includes an output means for providing the distinct memory address, the pitch predictor gain, the lag component and the peak amplitude for each voice subsegment and a means to reconstruct these samples based on these parameters.