The CCF Advanced Audio Technology Competition is organized by the China Computer Federation (CCF), hosted by the CCF Technical Committee on Speech Dialogue and Auditory Perception, co-organized by SpeechHome, and exclusively sponsored by Huawei Terminal Co., Ltd. The second competition officially kicks off, continuing the fruitful achievements and development momentum of the inaugural event. This competition remains committed to cultivating talents in the audio field, supporting student technological innovation, and selecting outstanding contributors.

Focusing on hot topics in audio technology in the era of large models, the competition provides a high-quality platform for students and researchers from universities and research institutes to exchange ideas, compete, and showcase their work. The first track addresses music restoration, aiming to repair distortion caused by poor amplification equipment and reverberation from multiple loudspeakers. The second track focuses on active noise cancellation (ANC), employing AI methods to design lightweight neural networks for end-to-end active noise control based on an understanding of ANC system principles. Considering that the transfer function of the active noise control system is significantly affected by environmental changes, the solutions are required to possess strong generalization capabilities and support offline inference.

The competition has selected first, second, and third prize winners for both tracks. At this special session of the conference, participating teams will be invited to elaborate on their technical solutions from multiple perspectives, including model architecture, algorithm innovation, data processing, and parameter optimization, to promote research and exchange on these technologies.