Search Results for "anpr using python"

AudiooPy stands for "Audio Manager in Python Object-Oriented Programming." This library provides a range of useful operations for sound files and audio fragments. It processes audio at the frame level, working with signed integer samples of 8, 16, or 32 bits, stored in byte-like objects. Key features include: - Reading and writing WAV files using Python's standard library

Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually.

...First scan may take a while depending on your PC and number of audio files, but on subsequent scans only newly added files will be scanned. IL Music Library Deduplicator is portable and doesn't require instalation and also is free. It is written in Python and is using Chromaprint fpcalc for audio fingerprinting. It can find duplicates even if audio files have no metadata or have a different filename.

Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. It has been renamed "pdatascope" to avoid a name-clash with Pyscope, a scoping package on PyPi. See https://sourceforge.net/p/pydatascope/ for the latest code.

A music recommendation engine. It is meant to be an add-on for popular media players like Winamp, Amarok, Rhythmbox or Banshee. Currently supports only MediaMonkey Player. Downlaod, extract and run "pronac.exe". Play the first song from the Now Playing list, it'll recommend you next songs from the same list. NOTE: MAKE SURE THAT SONG SHUFFLE IS TURNED OFF WHILE USING PRONAC. Based upon K-Nearest Neighbor Machine Learning Algorithm, K-Fold Cross Validation and EchoNest for audio features.

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 ...

The UIless Playlist Manager intends to be a generic music player, capable of managing multiple playlists based on different criterias, scalable to accomodate the needs of end users. UPM is an experiment in AI-using playlist management technology.

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.