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What does a faint heartbeat have in common with a thunderous concert? Both present a challenge for digital technology: capturing the quietest details without losing the loudest sounds.

For nearly 90 years, engineers have managed this trade-off by balancing the loudness of sound a device can capture against the number of bits used to represent it.

Now, researchers at Imperial College London have demonstrated a radically different approach called USF-Audio. Rather than allowing loud signals to be clipped, their system deliberately folds them into a smaller range before digitization. Although the resulting waveform can look or sound scrambled, its mathematical structure allows the original sound to be reconstructed.

The approach, known as Unlimited Sensing, changes what digital bits represent, rather than simply adding more of them.

In experiments using just six bits per sample, the prototype achieved at least 18 dB greater dynamic range than a conventional six-bit converter. A listening study involving 52 participants also found that reconstructed audio received higher quality ratings than conventional recordings at the same bit depth.

The implications extend beyond music. From digital stethoscopes and environmental sensors to future AI systems that interpret the physical world, the technology opens new possibilities for capturing information that conventional digitization can lose.

The study, " Re-thinking Digital Audio via Unlimited Sensing: Theory, Algorithms, and Hardware Validation ," is published in IEEE Transactions on Audio, Speech and Language Processing .

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