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TAPClean is a Commodore tape preservation / restoration tool. It will check, repair, and remaster Commodore 64 and VIC 20 TAP or DC2N DMP files (tape images).
Identify duplicate songs based on track metadata (ID3, etc)
Given two trees of audio files, examine the metadata for each file to try and determine the differences in the content of the trees. This helps find duplicate songs (or non-duplicated songs) even if the music is stored in different formats. Toggles let you determine how specific the matching criteria must be: Track number and song name? Artist, album, and track length? All of the above?
Ultimately this program will let you delete duplicates from either the left or right trees, or copy...
CAMEL (Content-based Audio and Music Extraction Library) is an easy-to-use C++ framework developed for content-based audio and music analysis. The framework provides a set of tools for easy Segmentation, Feature Extraction, Domain Extraction, etc.
The Java MPEG-7 Audio Encoder extracts some descriptors and description schemes of the MPEG-7 standard to describe an audio content (in this case: an audio file).
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Moodtrack contains Python classes for music-emotion analysis and assembly, enabling users to build soundtracks based on emotion and timing. USERS: Music Supervisors/Composers/Producers, Game Audio Developers, Content Providers. FILM DEMO: moodtrack.tv
DuMP3 is a duplicate and similar file finder. It finds exact duplicate binaries by hash, similar text files by substring content, images (JPG, BMP, GIF, PNG, etc) by color and audio files (MP3, WAV, OGG, etc) by wave data. Future: fonts, video.
Open-source content and evaluation framework for music transcription systems. Can be used as monophonic or polyphonic database, through software mixing.
Analyses audio content of songs and downloads information from the web to build a comprehensive descriptive library you can use to generate playlists based on the song mood, theme genre, or virtually any property of the song.
A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).
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