Method and device for transparent processing of music

A method comprising:

• determining, by a computing device, based on a time domain waveform of a piece of music to be played, frequency points in a frequency domain waveform of the piece of music to be played;
• adjusting a parameter of the frequency domain waveform at one of the frequency points;
• obtaining, based on the adjusted parameter, a characteristic of the piece of music to be played;
• inputting the characteristic into a transparency probability neural network to obtain a transparency probability of the piece of music to be played;
• determining a mapping relationship between the transparency probability and a transparency enhancement parameter by:
• performing a plurality of transparency adjustments on a nontransparent piece of music with a transparency probability, wherein transparency enhancement parameters corresponding to the plurality of transparency adjustments are:
• p+Δp*i, i=0,1,2 . . . in order;
• determining a plurality of subjective perceptions t(i) corresponding to the transparency adjustments based on scores that are determined by comparing a sound quality of a piece of music adjusted according to the transparency enhancement parameter p+Δp*i with a sound quality of a piece of music adjusted according to the transparency enhancement parameter p+Δp*(i−1) by a set of raters;
• and
• determining the mapping relationship based on a magnitude of t(i);
• determining the transparency enhancement parameter based on the mapping relationship between the transparency probability and the transparency enhancement parameter;
• and
• performing, based on the transparency enhancement parameter, transparency adjustment on the piece of music to be played.

An apparatus comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the apparatus to:
• determine, based on a time domain waveform of a piece of music to be played, a characteristic of the piece of music to be played;
• input the characteristic into a transparency probability neural network to obtain a transparency probability of the piece of music to be played;
• determine a mapping relationship between the transparency probability and a transparency enhancement parameter by:
• performing a plurality of transparency adjustments on a nontransparent piece of music with a transparency probability, wherein transparency enhancement parameters corresponding to the plurality of transparency adjustments are:
• p+Δp*i, i=0,1,2 . . . in order;
• determining a plurality of subjective perceptions t(i) corresponding to the transparency adjustments based on scores that are determined by comparing a sound quality of a piece of music adjusted according to the transparency enhancement parameter p+Δp*i with a sound quality of a piece of music adjusted according to the transparency enhancement parameter p+Δp*(i−1) by a set of raters;
• and
• determining the mapping relationship based on a magnitude of t(i);
• determine the transparency enhancement parameter corresponding to the transparency probability based on the mapping relationship between the transparency probability and the transparency enhancement parameter;
• and
• perform, based on the transparency enhancement parameter, transparency adjustment on the piece of music to be played.