Zining Zhang

TransMask: A Compact and Fast Speech Separation Model Based on Transformer

Speech separation is an important problem in speech processing, which targets to separate and generate clean speech from a mixed audio containing speech from different speakers. Empowered by the deep learning technologies over sequence-to-sequence domain, recent neural speech separation models are n…