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Found 6 papers, 0 papers with code
Sound Source Separation Using Latent Variational Block-Wise Disentanglement
In this paper, we present a hybrid classical digital signal processing/deep neural network (DSP/DNN) approach to source separation (SS) highlighting the theoretical link between variational autoencoder and classical approaches to SS.
Real-time Stereo Speech Enhancement with Spatial-Cue Preservation based on Dual-Path Structure
The algorithm runs in real-time on 10-ms frames with a 40 ms of look-ahead.
Neural Harmonium: An Interpretable Deep Structure for Nonlinear Dynamic System Identification with Application to Audio Processing
Improving the interpretability of deep neural networks has recently gained increased attention, especially when the power of deep learning is leveraged to solve problems in physics.
NoLACE: Improving Low-Complexity Speech Codec Enhancement Through Adaptive Temporal Shaping
Speech codec enhancement methods are designed to remove distortions added by speech codecs.
A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement
In this study, we present an approach to train a single speech enhancement network that can perform both personalized and non-personalized speech enhancement.
Improved singing voice separation with chromagram-based pitch-aware remixing
Singing voice separation aims to separate music into vocals and accompaniment components.
