PRS Winter 2019/20 Hendrik Schröter - Learning-based Noise Reduction using Complex Linear Coding

Noise reduction is an important part of modern hearing aids and is included in most commercially available devices. Deep learning-based state-of-the-art algorithms, however, either do not consider real-time and frequency resolution constrains or result in poor quality under very noisy conditions. To improve monaural speech enhancement in noisy environments, we propose CLCNet, a framework based on complex-valued linear coding. First, we define complex linear coding (CLC) motivated by linear predictive coding