Structure-aware acoustic scene classification: a feature decoupling framework using HPSS and asymmetric convolutions (opens in new tab)

Addressing the computational efficiency and cross-device generalization challenges faced by acoustic scene classification in resource-constrained environments, this study proposes a structure-aware dual-stream feature disentanglement framework based on harmonic-percussive source separation and asymmetric convolutions. The framework achieves structured decomposition of acoustic signals through HPSS techniques, performs independent modeling targeting temporal-frequency dimension differentiated ...