OF SOUND DECOMPOSITION
Our technology is a new form of sound decomposition. To its advantages belongs a possibility to depict an audio signal precisely sample by sample in such a way than enables free manipulation of its all internal components. Sound Objects describing the signal inform about the amplitude, frequency and phase in every moment of time. Such signal decomposition allows for its accurate representation, analysis as well as separation and synthesis of its internal components, even incase of signals overlapping in frequency and time.
OF AUTOMATIC SOUND SOURCES SEPARATION
The sound-into-sound-objects decomposition algorithms allow to separate automatically co-sounds whose frequencies differ only by 4% (around one semi-tone). Such precision of sound components separation allows for previously unattainable ability to recognize logical components of all sound sources as well as precision of their isolation.
Such precision of sound components separation together with preserved information about frequency, amplitude, position and phase of each Sound Object allows for previously unattainable ability to recognize logical components of all sound sources as well as precision of their isolation.
OF SOUND SEPARATION
IN SOUND SIGNAL ANALYSIS
Precise Sound Separation
BASED ON SOUND OBJECTS
Unlike the traditional methods of sound processing such as fast Fourier transform (FFT) and its derivatives (DCT, CQT), our technology engages uniquely designed bank of filters in order to obtain vectorial Sound Objects carrying information about precise parameters depicting the signal.
The spectrogram achieved in the process of signal filtration, allows for precise separation of overlapping-in-time frequencies, which differ barely >4% (1 semitone). Moreover, it can be characterized by a unchangeable resolution in all 500 logarithmic frequency ranges.
By the use of our algorithms we are able to identify Sound Objects and begin to group them according to their source.