DSS to MAUD Converter

Convert DSS dictation recordings to MAUD online

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Dictation to MAUD

Free your DSS dictation recordings from proprietary Olympus/Philips software — convert to MAUD for Amiga preservation and retro computing.

No Dictation Software

Skip the Olympus DSS Player or Philips SpeechExec installation. Convert DSS to MAUD directly in your browser.

Secure Processing

Uploaded DSS dictation files are deleted after conversion. Output files are purged from our servers within 24 hours.

How to convert DSS 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

DSS (Digital Speech Standard) is a proprietary voice recording format developed by Olympus, Philips, and Grundig in 1994 through the International Voice Association. Built for dictation workflows, DSS applies speech-optimized compression at very low bit rates — the original standard encodes at roughly 13.7 kbps, while DSS Pro reaches about 28 kbps with improved clarity. The codec concentrates its budget on frequency ranges characteristic of human speech rather than full-spectrum audio, producing exceptionally compact files. Professional recorders from Olympus and Philips use DSS natively, integrating with transcription software that supports priority flags, bookmarks, and author identification in file metadata. One advantage is file size efficiency: an hour of dictation occupies just 6-12 MB, practical for high-volume environments like hospitals, law firms, and courts. Built-in metadata enables seamless routing through transcription queues with automatic priority sorting. Although DSS is a closed format with playback limited to compatible software, its dominance in professional dictation ensures ongoing support from major transcription platforms.
Initial release: 1994
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 DSS to MAUD?

MAUD provides Commodore Amiga audio. Converting DSS dictation to MAUD makes your voice recordings accessible for Amiga preservation and retro computing.

What opens MAUD files?

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

What is DSS format?

DSS (Digital Speech Standard) is a proprietary dictation format developed by Olympus and Philips for voice recorders used in medical, legal, and business transcription.

Will voice quality be preserved?

DSS is a speech-focused codec with limited bandwidth. The conversion transfers all voice clarity present in the DSS source to the MAUD output.

Can I batch convert DSS files?

Upload multiple DSS dictation recordings and convert them all to MAUD at once — efficient for processing large batches of voice files.