Automatic recognition and description of musical properties
A piece of music can be described not only by its title, the artist or the album. It also has individual characteristics such as tempo, instrumentation, genre, or even the mood it creates. SoundsLike extracts these properties automatically from the music recording, offering versatile possibilities of using the data thereby gained.
Objective auto-tagging and efficient metadata generation
A manual indexing of large music libraries is both tedious and costly, which is why a lot of music datasets are incomplete or wrongly annotated. SoundsLike allows automatic annotation of musical data with objective metadata in short time. This annotation is based on intelligent algorithms, which are constantly developed further by means of large music databases. Automatic annotation via SoundsLike can effectively complement or even entirely replace the manual annotation.