download LASTAR 1.9.1

Author: Arthelion
Date: 06/22/2020 09:30 AM
Size: 13.6 MB
License: Open Source
Requires: 10|8|7
Downloads: 2589 times

LASTAR is a batch (non-interactive) audio processor for loudness adjustment and file splitting for a batch of audio recordings, using audio transparent maximizer.

This software, as opposed to other similar apps, loudness normalization is done on signal power resulting in a louder and more homogeneous result than a usual “peak” normalization. This benefit will be more pronounced for live recordings.


-Split, equalize and normalize digitized analog tapes or vinyl records
-Split, equalize and normalize live recordings from microphones (ex ZOOM H2 recordings)
-Produce fast and homogeneous normalization of a group of files (compilation for instance)
-Provide loudness and dynamic reduction for listening in a noisy environment (like your car)

This software aims to be very fast and easy to use: the most efficient computing techniques have been implemented, and there are very few parameters to set (most of them are automatically adjusted by analyzing the file).

It embeds:

-an automatic RMS normalizer,
-an Automatic Gain Controller (compressor)
-a 10 bands automatic equalizer
-a 3 bands semi-parametric equalizer
-a file splitter
-a noise gate
-preset management
-a preview function.

Technical features:

-WAV or MP3 input,
-WAV or MP3 output
-support of id3 tags V1 & V2
-Design to process large files and full directory trees
-Automatic file analysis to set up the best parameters
-RMS Amplifier with fast lookahead limiter to prevent clipping
-Left/right channel automated balancing
-10 bands automatic equalizer
-3 bands semi-parametric equalizer
-real-time pre-listening function
-Transparent and fast 3 bands processing (using FIR implemented by multi-threaded FFT convolution)
-Automated amplifier gain adjustment and noise estimation for file splitting
-Smooth automatic gain control (AGC) to compress dynamic without “pumping” effect
-Output noise gate
-Comes with a simple user guide


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