Personalized PercepNet - Real-Time, Low-Complexity Target Voice Separation and Enhancement. | 3 | 0.39 | 2021 |
Two-Step Sound Source Separation: Training On Learned Latent Targets | 3 | 0.39 | 2020 |
End-To-End Non-Negative Autoencoders for Sound Source Separation | 0 | 0.34 | 2020 |
A Style Transfer Approach to Source Separation | 0 | 0.34 | 2019 |
End-to-end Networks for Supervised Single-channel Speech Separation. | 3 | 0.44 | 2018 |
Class-conditional embeddings for music source separation. | 7 | 0.80 | 2018 |
Performance Based Cost Functions for End-to-End Speech Separation. | 5 | 0.45 | 2018 |
Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information. | 5 | 0.53 | 2018 |
AutoDub: Automatic Redubbing for Voiceover Editing. | 0 | 0.34 | 2017 |
Neural network alternatives toconvolutive audio models for source separation | 1 | 0.40 | 2017 |
Vocal Separation using Singer-Vowel Priors Obtained from Polyphonic Audio. | 2 | 0.38 | 2014 |