Theoretical Background: About partial tone separation in polyphonic recordings
It is considered difficult to completely recover all partial tones of a sound because of :
- Crossing with other partial tones
- Overlapping with other partial tones (interfering)
- Partial tones with strong disturbance by noise or noise like sounds
Using a new approach, SIGDEC makes it possible to separate and manipulate partial tones and sounds in polyphonic recordings in many cases. SIGDEC uses the relations and correlations between „partial-channels“ for detecting, reconstruction and manipulating of the partial
tones. To do this, at least one of the partials has to be completely filterable. This is usually the case, if the tone is clearly audible or can be separated by the human ear.
A harmonic spectral event like a tone, which comprises a number of (harmonic) partial tones, is comparable with a number of related AM and FM modulated transmitters. These transmitters
- start and end transmissions at the same time
- use carrier frequencies, which have a fixed mathematical ratio to each other
(for example factor 2 in the case of typical harmonic sounds)
- have a nearly identical frequency modulation, although the amplitude modulation is similar, but not identical
If one of this transmitters, i.e. partial tones, can be received (filtered out and demodulated) perfectly, it is easier to identify the other, more or less disturbed related transmitters.
Potential Applications of SIGDEC technology
Recording Enhancement:
– Deleting or altering pitch, volume, start time, length of false or inaccurate performed tones
or notes also in polyphonic recordings
– Changing the stereo position of tones
– Changing time and pitch of monophonic sounds in resampling like quality, but without
changing time while changing pitch, or vice versa
Sound Design:
– Altering and varying sample libraries
– Creating completely new sounds based on the separated sounds…
– Sound Analysis: New knowledge about nature of sound thanks to clearly structured and lively explaining visualizations and analyses, which are based of partial tones isolations
Audio Restoration:
– Removing of tonal noise (hum in general, noise of video recorder etc.) in highest audio quality
– Removing of clipping in highest audio quality
– Interpolation of gaps in audio in highest audio quality
– Adding of missing, repairing of corrupted or noised partial tones in highest audio quality
It is considered difficult to completely recover all partial tones of a sound because of :
- Crossing with other partial tones
- Overlapping with other partial tones (interfering)
- Partial tones with strong disturbance by noise or noise like sounds
Using a new approach, SIGDEC makes it possible to separate and manipulate partial tones and sounds in polyphonic recordings in many cases. SIGDEC uses the relations and correlations between „partial-channels“ for detecting, reconstruction and manipulating of the partial
tones. To do this, at least one of the partials has to be completely filterable. This is usually the case, if the tone is clearly audible or can be separated by the human ear.
A harmonic spectral event like a tone, which comprises a number of (harmonic) partial tones, is comparable with a number of related AM and FM modulated transmitters. These transmitters
- start and end transmissions at the same time
- use carrier frequencies, which have a fixed mathematical ratio to each other
(for example factor 2 in the case of typical harmonic sounds)
- have a nearly identical frequency modulation, although the amplitude modulation is similar, but not identical
If one of this transmitters, i.e. partial tones, can be received (filtered out and demodulated) perfectly, it is easier to identify the other, more or less disturbed related transmitters.
Potential Applications of SIGDEC technology
Recording Enhancement:
– Deleting or altering pitch, volume, start time, length of false or inaccurate performed tones
or notes also in polyphonic recordings
– Changing the stereo position of tones
– Changing time and pitch of monophonic sounds in resampling like quality, but without
changing time while changing pitch, or vice versa
Sound Design:
– Altering and varying sample libraries
– Creating completely new sounds based on the separated sounds…
– Sound Analysis: New knowledge about nature of sound thanks to clearly structured and lively explaining visualizations and analyses, which are based of partial tones isolations
Audio Restoration:
– Removing of tonal noise (hum in general, noise of video recorder etc.) in highest audio quality
– Removing of clipping in highest audio quality
– Interpolation of gaps in audio in highest audio quality
– Adding of missing, repairing of corrupted or noised partial tones in highest audio quality