A method for sound-object-oriented analysis and note-object-oriented processing of a polyphonic digitised sound recording which is provided as a time signal F(A, t), comprising the following analysis and processing steps: - reading the time signal F(A, t) section by section, with use being made of a window function and overlapping windows, - Fourier transform of the read signal to the frequency domain, more particularly by executing a discrete Fourier transform, - calculating an energy value E for each bin from the frequency amplitude resulting from the Fourier transform, more particularly by squaring the real and imaginary contents or forming an energy value derived therefrom, - generating a three-dimensional function F(t, f, E), - identifying event objects (1, 3) which are characterised in that they have an abrupt amplitude rise and are not periodic at this point and which, in most of the cases, are quickly fading, - identifying note objects the main property of which is that they have a tone pitch or a tone pitch pattern for a perceivable duration and that the curve shape of their time signal, in essence, has a periodic or quasi-periodic behaviour, - comparing the point in time of the occurrence of event objects (1, 3) and note objects and allocating event objects (1, 3) to note objects in case of an occurrence that is plausible in relation to time, - calculating spectral content factors for each note object, - allocating signal contents of the frequency signal F(f, t, E) to found note objects by means of the calculated content factors, - reverse transforming the frequency signal contents allocated to a note object into a time signal, - graphical representation of the note objects and/or event objects (1, 3) in a time/frequency graph on a monitor, - processing one or a plurality of note objects under user control or in an automated manner, - storing the time signals of processed note objects, - reproducing the stored time signals of processed note objects together with the time signal that is reduced by the time signal allocated to a note object. - reading the time signal F(A, t) section by section, with use being made of a window function and overlapping windows, - Fourier transform of the read signal to the frequency domain, more particularly by executing a discrete Fourier transform, - calculating an energy value E for each bin from the frequency amplitude resulting from the Fourier transform, more particularly by squaring the real and imaginary contents or forming an energy value derived therefrom, - generating a three-dimensional function F(t, f, E), - identifying event objects (1, 3) which are characterised in that they have an abrupt amplitude rise and are not periodic at this point and which, in most of the cases, are quickly fading, - identifying note objects the main property of which is that they have a tone pitch or a tone pitch pattern for a perceivable duration and that the curve shape of their time signal, in essence, has a periodic or quasi-periodic behaviour, - comparing the point in time of the occurrence of event objects (1, 3) and note objects and allocating event objects (1, 3) to note objects in case of an occurrence that is plausible in relation to time, - calculating spectral content factors for each note object, - allocating signal contents of the frequency signal F(f, t, E) to found note objects by means of the calculated content factors, - reverse transforming the frequency signal contents allocated to a note object into a time signal, - graphical representation of the note objects and/or event objects (1, 3) in a time/frequency graph on a monitor, - processing one or a plurality of note objects under user control or in an automated manner, - storing the time signals of processed note objects, - reproducing the stored time signals of processed note objects together with the time signal that is reduced by the time signal allocated to a note object.