Probabilistic Amplitude Demodulation

R. E. Turner and M. Sahani

Published in: Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation


Auditory scene analysis is extremely challenging. One approach, perhaps that adopted by the brain, is to shape useful representations of sounds on prior knowledge about their statistical structure. For example, sounds with harmonic sections are common and so time-frequency representations are efficient. Most current representations concentrate on the shorter components. Here, we propose representations for structures on longer time-scales, like the phonemes and sentences of speech. We decompose a sound into a product of processes, each with its own characteristic time-scale. This demodulation cascade relates to classical amplitude demodulation, but traditional algorithms fail to realise the representation fully. A new approach, probabilistic amplitude demodulation, is shown to out-perform the established methods, and to easily extend to representation of a full demodulation cascade.


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This was the initial paper in a long line of work on probabilistic amplitude demodulation. For a summary of this work see this web page.