PHELIX is a audio matching tool that identifies duplicate and similar-sounding songs by listening to music with a selected folders and comparing the files.
Here are some key features of "Phelix":
· Duplicates with bad or missing music-tags but same or similar sound will be detected by acoustical audio matcher. · Audio matcher is well tuned and represents a good compromise between performance speed, memory consumption, audio sensitivity and matcher robustness. · Audio matcher will detect duplicates even -if audio signals are shifted; started at different moments. -if audio signals are ripped by different bit rates. -if audio signals are ripped by different volumes. · Program design of Phelix obliges to concurrent computing paradigm. This is done to get computing power from PCs with multicore micorprocessors. User can control the level of concurrency. · Performance: 4 audio executions per seconds on AMD Opteron 270 (DualCore) in 1 thread mode, or 7 audio executions per seconds in 2 threads mode (memory consumption: approximately 40MB of RAM for 1000 songs). · Classical music-tags matcher supports MP3 and OGG formats. Music-tags matcher has a long tradition and is now improved to be even better. · Matching can operate in incremental mode. In this mode, user can work on so-far collected duplicates while the matcher processes are in progress. · Program automatically chooses which duplicates will be moved out and which one will be kept. Decision is ruled by `keep-file-criteria`. Criteria is controlled by user and can include comparisons of: file type, file length, bit rate, song length, number of songs in folder and file creation time. · User can manually overrule the program decisions. · Program automatically detects distrusted groups of duplicates. Detection criteria is based on song length deviation and can be controlled by user. · Distrusted groups of duplicates can be separated from trusted groups in extra table and can be auto-deselected to prevent the accidental removal. · Files are never deleted by this tool, they are removed to the
