Open Source Audio Analysis Software - Page 9
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Audio Analysis Software
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This library is a Java port from the libFooID audio fingerprinting library created by Gian-Carlo Pascutto. The fingerprint captures how the audio is perceived by an audience so it can e.g. be used in a database to retrieve metatags of a track.
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This project is to provide a MusicBrainz Tagging application written in Java so it is cross platform.
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lbat
lmms projects builder and tagger
Wrapper atop "lmms render" - keep rendered tracks up to date with lmms projects. Creates EBU R128 compliat tracks. -
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libltc-delphi
Linear Timecode is an encoding of SMPTE timecode data in an audio sign
Linear (or Longitudinal) Timecode (LTC) is an encoding of SMPTE timecode data in an audio signal, as defined in SMPTE 12M specification. -
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median~
Calculates median of a signal
Pure Data external object to calculate the median of a signal. -
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pd-codelab
Collections of abstractions for Pure Data
pd-codelab is a collection of abstractions, patchs and scripts for the Pure Data software made by the French community, notably around the forum http://codelab.fr -
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phpWebMedia is a web-based media content display which allows downloading or opening of media remotely which is reliant on a MySQL database.
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Mixing Bhatkhande rules with Traditional and Learning based software techniques to classify of existing as well as predicting new North Indian (Hindustani) Classical Music raaga\'s (raga\'s)
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Media management for webservers written in PHP using the getid3 library for details on sound and video files. All information is put into a database and everything is editable incl. the ID3 v1/2 and so on and you can hear/see them on your browser
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Application to transcribe music. This means recording songs/open audio files and pick out the notes.
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Goal of this project is to develop a piece of java-based software for handling of music files. The program identifies the provided music files using several techniques, retrieves the matching metadata from the internet and updates the file.
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SOMba is a Qt based program that allows multiple dancers to create a collaborative sonic space, using audio clips organized by a Self-Organizing Map. It uses the Marsyas framework for audio feature extraction and playback.
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Terz the incredible AutoTagger is a automated Audio File Tagger and File Renamer. It uses information provided by musicbrainz. By using context information Terz achieves very good results. Other features: show incomplete albums, search for Duplicates ...
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With un# you get rid of duplicates in your media file archive. You also can edit extended informations and standardize them throug regular expressions.
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voice enpoint detect
voice enpoint detect study project
This project contains a pitch detect and a voice endpoint detect algorithm. Also codes for a digital filter and drawing font on bitmap file. It is just for study, nothing more, so be have fun! -
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A utility that can modify wav files to change the playing time of an audio clip, and transpose or scale the pitch of the clip. Great for audio book enthusiasts, and music lovers. Time shifting. DSP. Pitch Scaling.
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Creates universal playlists in XML. These can be exported to most music player's playlist format like winamp, realplayer, jukebox or any music player of your choice. Supports ID3, Searching & Indexing songs. XML data for easy retrieval & readability.
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Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
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AcMus is a project on musical acoustics devoted to the development of models and computer tools for the study of room acoustics and focus on helping the investigation of issues related to the design, control and acoustic treatment of environments. AcMus has not been maintained for a few years now, but the code may still be useful. We consider the current repository to be at https://gitlab.com/ccsl-usp/acmus .
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Evomusic deals with automatic composition of music (midi-files) using evolutionary algorithms. Currently we are testing multiple approaches for doing this successfully, especially neural networks and/or algorithms based on simple music theory.
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tonopol-trainer
Musik Trainer
Analyse von Songs (mp3,wav) Unterteilung der Songelemente Training von Abschnitten langsam - schell Trainig ganzer Sets mittels Playlist