MADS: A Multiview Acoustic Descriptor Set Beyond Standard Spectral Summaries
Dominant audio classification pipelines rely either on compact handcrafted summaries or on fixed time-frequency frontends such as log-mel representations prior to deep modeling. While highly successful, these representations do not explicitly expose the physical dynamics of the underlying sound-generating event. We introduce MADS (Multi-view Acoustic Descriptor Set), a compact 19-dimensional physics-informed descriptor set de- signed to capture complementary spectral, temporal, mechanical, and stochastic structure in audio signals. Rather than treating sound only as a spectral pattern, MADS encodes properties related to excitation, damping, periodicity, impulsiveness, and structural consi...
| Authors | Utsab Ghosh, Roshni Chakraborty |
|---|---|
| Primary category | cs.SD |
| Published | 1 September 2026 |
| Last updated at source | 1 September 2026 |
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