IRCAM to GSM Converter

Repackage IRCAM research audio as GSM online

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IRCAM to GSM

Move audio from the academic IRCAM format into GSM — making research recordings accessible for mobile telephony and VoIP.

Fast Turnaround

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

No Install Required

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

How to convert IRCAM to GSM

1

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

2

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

3

Let the file convert and you can download your gsm 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
GSM 06.10 (Full Rate) is the foundational speech codec of the Global System for Mobile Communications standard, ratified by ETSI in 1991 and deployed across hundreds of cellular networks worldwide. Operating at a fixed 13 kbit/s, the algorithm applies Regular Pulse Excitation with Long-Term Prediction (RPE-LTP) to compress 20 ms frames of 8 kHz mono speech into just 33 bytes each. This approach models the vocal tract as a linear predictive filter, encodes the excitation signal, and leverages pitch periodicity for further reduction — tuned to deliver intelligible voice under the bandwidth constraints of early digital mobile channels. The codec powers not only GSM telephony but also many VoIP applications, voicemail systems, and IVR platforms that benefit from its low bitrate. Three concrete advantages stand out. First, extraordinary compression: one minute of speech fits in roughly 100 KB, enabling efficient storage and transmission. Second, universal tooling — libraries such as libgsm and SoX handle encoding and decoding on every major platform. Third, a royalty-free patent landscape that has encouraged adoption across open-source telephony projects like Asterisk and FreeSWITCH.
Initial release: 1991

Frequently Asked Questions

Why convert IRCAM to GSM?

GSM provides mobile telephony speech encoding at 13 kbps. Converting IRCAM research audio to GSM makes it accessible for mobile telephony and VoIP.

What opens GSM files?

VLC, Audacity, SoX, VoIP apps can open and play GSM 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 GSM. 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 GSM at once — efficient for processing research audio collections.