IRCAM to IMA Converter

Convert IRCAM SDIF recordings to IMA format online

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IRCAM to IMA

Move audio from the academic IRCAM format into IMA — making research recordings accessible for game audio and embedded systems.

Instant Access

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

Streamlined

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

How to convert IRCAM to IMA

1

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

2

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

3

Let the file convert and you can download your ima 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
IMA ADPCM (Adaptive Differential Pulse-Code Modulation) is a compact audio coding standard published by the Interactive Multimedia Association in 1992, addressing the need for a lightweight, royalty-free compression scheme suitable for early multimedia PCs and embedded devices. The algorithm encodes each sample as a 4-bit nibble representing the quantized difference from the previous sample, while an adaptive step-size table adjusts dynamically to track signal amplitude — delivering a fixed 4:1 compression ratio over 16-bit PCM. Decoding requires only an integer multiply-add per sample and a small lookup table, so even modest 1990s CPUs could decompress in real time without dedicated DSP. The format became deeply embedded in the multimedia landscape: Microsoft adopted it as a standard ACM codec for WAV files, game engines relied on it for sound effects, and telephony equipment used it for voice storage. Its advantages are enduring: predictable 4:1 size reduction simplifies buffer allocation in constrained environments, the decode path runs on 8-bit microcontrollers, and the open specification made IMA ADPCM one of the most broadly implemented audio codecs in computing history.
Initial release: 1992

Frequently Asked Questions

Why convert IRCAM to IMA?

IMA provides 4:1 ADPCM compression for embedded use. Converting IRCAM research audio to IMA makes it accessible for game audio and embedded systems.

What opens IMA files?

SoX, Audacity, game engines can open and play IMA 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 IMA. 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 IMA at once — efficient for processing research audio collections.