What is sound? A standard definition of sound is:
“Vibrations transmitted through an elastic solid or a liquid or gas whose frequencies are in a range causing a sensation stimulated in the organs of hearing”
That definition explains sound more than defines it. Defining sound is not an easy thing. At its core, sound is composed of a set of simple waves. And yet, those simple waves can produce an unlimited number of sounds. From those simple waves, the human brain can differentiate thousands of unique voices and instruments. From those simple waves, we can differentiate a live recording from one produced in a studio. Sound may be made of simple waves but it is not a simple thing.
The difference between sound and a wave is interference. A perfect wave or singular frequency is a man-made creation. Scientists, with their sophisticated electronics, are capable of generating a perfect singular wave or frequency. A singular wave produces a sound that we perceive as unnatural. Why? Nature doesn’t produce sound that way. When nature produces a sound, a cacophony of frequencies is created with different energies that overlap and interfere with each other. It is that combination of frequencies and interference patterns that make distinguishable sounds from a wave.
To understand how Sound Genetics looks at sound, let’s recap our facts. To create sound, Nature produces a series of waves that overlap and interfere with each other. There are an infinite possible number of combinations of waves and therefore sounds that can exist. Lastly, each and every unique sound is formed by a specific combination of simple waves. When you consider these statements, what other science is based on these similar principles? Life Sciences, and specifically DNA analysis. It is from this unique perspective of sound that formed the basis of Sound Genetics’ Sound Genome Theory.
The Sound Genome Theory represents a fundamental shift on how sound is perceived and organized. Just as in DNA analysis, the theory states that sound can be separated and categorized using a finite set of base sound objects called “Sound Genotypes”. Those genotypes are constructed from fractal-like structures called “Sound Genes” and their respective Chaos Transformation Coefficients (CTC). To confirm the theory, scientists from the fields of Fractal Mathematics, Chaos Theory, Pattern Recognition, Perception Evaluation, Neural Networks, Genetic Algorithms and Evolution Theory were engaged to create the first low-order SOHMs (Self-Organized Sound Models) to analyze sound. Since then, higher order SOHMs have been created and the theory continues to be advanced. What has been discovered is that the implementation of the theory can correctly analyze and break sound down into a series of unique discrete set of sound genes.
Another aspect of the Sound Genome Theory is its ability to repair and reconstitute sound. In living organisms, cells are constantly analyzing and adjusting for small variances in the DNA. Eons of evolution has programmed our cells to perceive what is right or not in a DNA strand. The Sound Genome Theory believes the same can be said of sound. But how is sound damaged? Simple. Record it, distribute it, and play it back. Only recently is technology capable of recording and storing all the frequencies generated by a natural source. Before then, much of what was needed to make recorded music lifelike was lost due to inadequacies in the equipment. And now, even though the possibility of undamaged sound is possible, encoding algorithms like MP3 and AAC remove and adjust frequencies to minimize data requirements. The Sound Genome Theory provides for the ability to repair and reconstitute sound genes and improve sound fidelity. By analyzing the remaining sound genes, the Sound Genome Theory can repair and reconstitute the sound genes and therefore, improve fidelity and make the sound lifelike.
Currently, the SoundXciter platform uses the latest version of this evolutionary technology. Using Sound Genome analysis and reconstruction, SoundXciter is capable of reconstructing “twice more sound” than any decoder can using the same incoming data set. Moving forward, it is expected that as better sound genes are created and the genetic sound analysis is enhanced, the Sound Genome engine will be capable of producing CD fidelity levels from 32Kbs streaming stereo.
The Sound Genome Theory is unique in the way it perceives sound and provides a new way to analyze, repair and reconstitute sound. The implementation of this theory is what gives SoundXciter its key advantage over all other fidelity products and provides a fundamental leap forward in our ability to make sound more alive. In short, by treating sound like a life-form, the theory is able to make sound more lifelike.
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Download full copy of Sound Genome Theory white paper in pdf format. 