These studies illustrate how deep learning is redefining the capabilities of audio processing systems by integrating novel signal representations with adaptive model designs.

Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear implants, and brain-machine interfaces.

Making deep learning models for audio processing easily available on DAWs has the potential to dramatically improve an artist’s abilities, musical expression, and productivity.

This Collection invites research in AI applications for audio and video processing, focusing on novel architectures, cross-modal learning, performance optimization, and real-world applications.

Alec Wright, a doctoral student, focusing on audio processing using deep learning says,' The tests were conducted to validate the performance of models emulating either the Blackstar HT5 Metal or ...