Real-Time Band-Grouped Vocal Denoising Using Sigmoid-Driven Ideal Ratio Masking

ArXi:2603.29326v1 Announce Type: cross Real-time, deep learning-based vocal denoising has seen significant progress over the past few years, nstrating the capability of artificial intelligence in preserving the naturalness of the voice while increasing the signal-to-noise ratio (SNR). However, many deep learning approaches have high amounts of latency and require long frames of context, making them difficult to configure for live applications.