Researchers at the University of California, Santa Barbara have developed a novel device that exploits the periodicity and redundant nature of audio signals to predict future periodic components of an audio signal. This method allows for coding schemes and networking systems to compress or store audio information with higher accuracy and efficiency than traditional methods. Higher efficiency audio compression can greatly improve the quality of such applications as high-definition teleconferencing and wireless audio streaming.

File Number: 22239 

Web site: http://techtransfer.universityofcalifornia.edu/...

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Background

Most audio signals are periodic in nature, which means that the signal carries redundant information. The prediction of audio signals with only one periodic component (monophonic) is a highly researched area with many solutions, while the prediction of polyphonic signals is not. Polyphonic signals contain multiple periodic components and are much more common in systems than monophonic signals.