Singing Voice Separation Using Deep Neural Networks and F0 Estimation
نویسندگان
چکیده
Deep Neural Networks (DNN) have become a popular approach for speech enhancement, and singing voice separation. DNNs are typically trained to estimate a timefrequency mask using ground truth examples. In this submission, we combine DNN estimation as a first step with traditional refinement via F0 estimation, using the YINFFT algorithm.
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