These individual scores were measured at each musical note, regarding the pitch, onset, and offset accuracy. The technique is implemented using a Bayesian classifier, which is trained using an audio dataset containing individual scores provided by a committee of expert listeners. On the second stage, a statistical method is used to evaluate the accuracy of each detected sung note. This stage implicitly aggregates and links the best combination of the extracted melodic segments with the expected note in the ground truth. On the first stage, an aggregation process is introduced to perform the temporal alignment between the transcribed melody and the music score (ground truth). The proposed system uses melodic transcription techniques to extract the sung notes from the audio signal, and the sequence of melodic segments is subsequently processed by a two stage algorithm. With the Music Collection, your music will be sorted and organized, and you will have the opportunity to have complete information about your favorite artists, songs and albums -*****- Music Collection 3.5.9.0 + Portable ( 15.This paper presents a note-by-note approach for automatic solfège assessment. If necessary, information about your music collection can be printed. Successfully implemented the search for the desired track or album using a variety of filters - by artist, genre, title, etc. At the same time, it is entered either manually or downloaded from the Internet, which saves time and prevents possible errors.

All information about available songs can be edited and changed. Music Collection is a good program for creating your own music collection on your computer and its convenient management.

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