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Aural Probe is a sample librarian tool for computer musicians/audio engineers. Automatically and non-destructively index your disorganised sample collection from a list of folders into categories (kick, snare, hihats etc.) based on folder/filename wildcard matches. Easily audition samples, load/save favourites, and drag-and-drop straight into your sequencer.
Utility for converting between different cue sheet styles and lossless audio formats, with AccurateRip verification. Supports .wav, .ape, .flac and .wv formats.
VGMToolbox is a C# based tool to assist VGM collectors and dumpers. It includes tools to extract, optimize, and build VGM formats as well as auditing and exploration utilities. [GBS, KSS, MDX, NSF(E), SID, S98, SPC, VGM, XA, XMA, xSF (PSF/PSF2/etc)]
Windows VU Meter is a standalone application that mimics an old stereo's VU or audio level meters. Please see the project's website at http://windowsvumeter.sourceforge.net/ for all of the program's details and features and download.
Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.
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iTunes Store file validator is an open source addon for Windows. It is aimed for iTunes users who are keen on maintaining or having the goal of achieving iTunes Store file standard tags for all the tracks in their iTunes Music Library.
FourierRocks is a graphical application to compare sound (.wav) files.
FourierRocks is a graphical application to compare sound (.wav) files.
It performs deep analysis of differences between wav files both in time and frequency domains.
It's particularly useful in many situations such as:
- Analyzing audio codec alterations
- Checking audio player response
- Analyzing CD ripping process
- Comparing audio spectra (Loudspeaker comparison, Poweramp comparison, etc...)
It not only compares bit information but performs an accurate and extended sound...
TSSBank is written in c#(.Net 2.0).The main aimed group is the disabled persons.This component outputs voice & textual outputs (with value/words)plus experimental Voice Recognition (VR) system that identifies more then 80% accurately with out training.