IRCAM to MAUD Converter

Convert academic IRCAM audio to MAUD online

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IRCAM to MAUD

Move audio from the academic IRCAM format into MAUD — making research recordings accessible for Amiga preservation and retro computing.

Accessible Everywhere

Convert IRCAM files without installing Csound or academic audio tools. Process your research audio from any modern browser.

Quick Results

IRCAM files convert to MAUD rapidly on our cloud servers. Upload your research audio and receive the output promptly.

How to convert IRCAM to MAUD

1

Select files from Computer, Google Drive, Dropbox, URL or by dragging it on the page.

2

Choose maud or any other format you need as a result (more than 200 formats supported)

3

Let the file convert and you can download your maud file right afterwards

About formats

IRCAM sound files originate from the Institut de Recherche et Coordination Acoustique/Musique — one of the world's foremost computer music laboratories, founded by composer Pierre Boulez in Paris. The format was created in the early 1980s to serve the research needs of IRCAM and has since been adopted by academic and artistic communities working at the intersection of science and sound. An IRCAM file begins with a 1024-byte header containing a magic number, sample rate, channel count, and an encoding type field that supports linear PCM (16/32-bit integer and 32-bit float), mu-law, and A-law variants. The header block also accommodates free-form annotation text, allowing researchers to embed experiment metadata directly in the audio file. Because the payload is uncompressed by default, recordings maintain full fidelity through successive analysis and resynthesis cycles — essential in psychoacoustic experimentation. Software such as Csound, libsndfile, and SoX reads and writes the format natively. Key advantages include a well-defined header that eliminates parsing ambiguity, support for floating-point samples essential in scientific DSP work, and deep roots in the computer music community ensuring continued tooling.
Developer: IRCAM
Initial release: 1983
MAUD is an audio file format developed by MacroSystem for the Commodore Amiga platform, introduced in the early 1990s as part of their digital video and audio production tools. Built on the Amiga IFF (Interchange File Format) chunk architecture, MAUD files organize data into clearly delineated chunks — MHDR for the header, MDAT for sample data, and optional annotation chunks for metadata. The format supports mono and stereo layouts with bit depths of 8 or 16 bits and sample rates up to 48 kHz, which represented professional-grade specifications on Amiga hardware. Both signed linear PCM and A-law/mu-law encodings are available, offering a choice between fidelity and file size. MAUD saw primary use in the Amiga video production community, where MacroSystem Retina and VLab Motion boards demanded synchronized audio that the standard 8SVX format could not deliver. Conversion support exists today through SoX and libsndfile, ensuring vintage Amiga productions remain recoverable. Three distinct advantages stand out: clean IFF-based structure that any chunk-aware parser can navigate, 16-bit stereo capability ahead of typical Amiga audio, and lightweight overhead that left maximum CPU headroom for video rendering.
Initial release: 1992

Frequently Asked Questions

Why convert IRCAM to MAUD?

MAUD provides Commodore Amiga audio format. Converting IRCAM research audio to MAUD makes it accessible for Amiga preservation and retro computing.

What opens MAUD files?

WinUAE, FS-UAE, SoX, Amiga software can open and play MAUD files without additional plugins or configuration.

What is IRCAM format?

IRCAM is a specialized academic audio format from the Institut de Recherche et Coordination Acoustique/Musique in Paris, used in computational musicology and acoustic research.

Is quality preserved in the conversion?

The conversion faithfully transfers audio from IRCAM to MAUD. Output quality depends on the target format encoding settings you choose.

Can I convert multiple IRCAM files?

Upload several IRCAM files and batch-convert them all to MAUD at once — efficient for processing research audio collections.