IRCAM to SLN Converter

Encode IRCAM audio as SLN for modern playback

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IRCAM to SLN

Move audio from the academic IRCAM format into SLN — making research recordings accessible for VoIP prompts and hold music.

Quick Processing

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

Zero Setup

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

How to convert IRCAM to SLN

1

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

2

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

3

Let the file convert and you can download your sln 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
SLN (Signed Linear) is a headerless raw audio format storing 16-bit signed linear PCM samples at 8000 Hz mono, most closely associated with Asterisk — the open-source PBX framework developed by Digium (now Sangoma Technologies). Within Asterisk, SLN serves as the native internal audio representation: every codec transcoding operation passes through signed linear as an intermediate step. This makes SLN the backbone of Asterisk's codec translation architecture. The format contains nothing but raw samples — no headers, no metadata, no framing — so parameters must be known in advance. While this lack of self-description might seem limiting, it is actually an advantage in telephony where sample format is fixed by convention and every overhead byte matters across thousands of simultaneous channels. The 8000 Hz rate aligns with the G.711 standard for traditional telephony, capturing the full 300-3400 Hz voice band. Asterisk also supports extended variants (sln16, sln32, sln48) for wideband audio. SLN files require no decoding — just direct memory mapping — making them ideal for real-time mixing, conferencing, and prompt playback in high-density VoIP environments.
Initial release: 1999

Frequently Asked Questions

Why convert IRCAM to SLN?

SLN provides raw signed linear PCM for VoIP. Converting IRCAM research audio to SLN makes it accessible for VoIP prompts and hold music.

What opens SLN files?

Asterisk PBX, FreeSWITCH can open and play SLN 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 SLN. 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 SLN at once — efficient for processing research audio collections.