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Audacity is a free and open-source digital audio editor and recording application software, available for Windows, macOS, Linux, and other Unix-like operating systems. [ 4 ] [ 5 ] As of December 6, 2022, Audacity is the most popular download at FossHub, [ 8 ] with over 114.2 million downloads since March 2015.
Audacity: Dominic Mazzoni Yes Yes Yes Yes wxWidgets multi-track audio recorder and editor GPL-2.0-or-later, CC BY 3.0 (documentation) Ecasound: Yes Yes Yes Yes limited support through Cygwin: command line audio recorder GPL-2.0-or-later: Gnome Wave Cleaner: Jeff Welty Yes No No GTK+ audio editor GPL-2.0-or-later: Jokosher: Jokosher community ...
Audacity: No Yes Yes Yes (3.2.0 and newer) Yes Yes No No Only on OS X [4] No No AudioDesk: Returns only No Via converter No No No No No Yes No Yes Audiotool: No No No No No No No No No No No Audition: Partial (Pre CS5.5 - Yes, CS5.5 - No) Yes Yes Yes No No No No Yes Partial (Pre CS5.5 - Yes, CS5.5 - No) No BIAS Peak: Unknown Unknown Un ...
Audacious is a free and open-source audio player software with a focus on low resource use, high audio quality, and support for a wide range of audio formats. [6] It is designed primarily for use on POSIX-compatible Unix-like operating systems, with limited support for Microsoft Windows. [7]
The Nyquist programming language can also be used to write plug-in effects for the Audacity digital audio editor. [3] One notable difference between Nyquist and more traditional MUSIC-N languages is that Nyquist does not segregate synthesis functions (see unit generator) from "scoring" functions.
Audacity means boldness. Audacity may also refer to: Computing. Audacity (audio editor), an audio editing application; Music. Audacity, a 2009 album by Ugly ...
Adobe Audition 2 was released on January 17, 2006. With this release, Audition (which the music recording industry had once seen as a value-oriented home studio application, although it has long been used for editing by radio stations) entered the professional digital audio workstation market.
Electrical network frequency (ENF) analysis is an audio forensics technique for validating audio recordings by comparing frequency changes in background mains hum in the recording with long-term high-precision historical records of mains frequency changes from a database.