Rosa Bialski, B.Sc.

Here’s a great explanation of the voice analysis process that I use for this method.

Using a uni-directional condenser microphone that is linked to a computer equipped with a calibrated sound card, a short (less than a minute) sample of the voice is captured.  A Fast Fourier Transform (FFT) converts the recorded vocal sounds into numeric data using the properties of frequency (Hertz/cycles per second) and amplitude (decibel).  This information is used to create a digital graph that represents the vocal frequencies and the corresponding data using a range of  0-1000 cycles per second.

FFT’s are computationally efficient algorithms commonly used to convert analog vocal data to digital numeric data for rapid spectral analysis.  Such transformations from time to frequency domain use mathematical functions to depict the relative magnitudes and phase relationships of frequencies in a time varying signal.

The frequencies and patterns that are generated are evaluated in terms of coherence, architecture and numeric value.  A technician assesses the graph, identifying the dissonant values that will be used to characterize the information.

The resulting frequencies are entered into a database that can be manipulated to create a variety of reports that represent substances in terms of Frequency Equivalents™ (FE); a frequency representation of a person, place or thing..  Categories include…..

These reports may be used for research purposes by wellness practitioner in the hope of providing substantiation and direction in support of optimal form and function.

The software used for BioAcoustic evaluation is not available commercially and is recurrently being modified to fit research requirements.  Databases are upgraded continuously to include research results related to frequency correlates that we hope to associate with the biochemical functions and structural organization of the human body; including environmental threats from toxin and pathogen exposure.  The information contained within the databases as well as the processes to interpret and construct frequency  associations that may be significant, are novel, distinctive and proprietary to the research functions of Sound Health.