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Found 4 papers, 3 papers with code
Matrix Compression via Randomized Low Rank and Low Precision Factorization
We propose an algorithm that exploits this structure to obtain a low rank decomposition of any matrix $\mathbf{A}$ as $\mathbf{A} \approx \mathbf{L}\mathbf{R}$, where $\mathbf{L}$ and $\mathbf{R}$ are the low rank factors.
Adversarial Approximate Inference for Speech to Electroglottograph Conversion
A popular alternative is to indirectly obtain the source information through the Electroglottographic (EGG) signal that measures the electrical admittance around the vocal folds using dedicated hardware.
Mode matching in GANs through latent space learning and inversion
Generative adversarial networks (GANs) have shown remarkable success in generation of unstructured data, such as, natural images.
Detection of Glottal Closure Instants using Deep Dilated Convolutional Neural Networks
Most of the existing approaches for GCI detection adopt a two-stage approach - (i) Transformation of speech signal into a representative signal where GCIs are localized better, (ii) extraction of GCIs using the representative signal obtained in first stage.
Sound Audio and Speech Processing
