Attention-Based Deep Neural Networks for Speech and Music Discrimination
Conventional techniques for speech and music discrimination often rely on handcrafted features and shallow models, leading to limitations in capturing complex temporal dependencies and handling noisy or degraded audio signals. To address these challenges, this paper proposes a novel approach that employs attention-base...