The Intel Neuromorphic Deep Noise Suppression Challenge (Intel N-DNS Challenge) is a contest to help neuromorphic and machine learning researchers create high-quality and low-power real-time audio denoising systems. Track 1 (Algorithmic) aims to encourage algorithmic innovation that leads to a higher denoising performance while being efficient when implemented as a neuromorphic system.