Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Networks

no code implementations • 24 Feb 2021 • Ju Lin, Adriaan J. van Wijngaarden, Kuang-Ching Wang, Melissa C. Smith

The resulting multi-stage speech enhancement system, in short, multi-stage SA-TCN, is compared with state-of-the-art deep-learning speech enhancement methods using the LibriSpeech and VCTK data sets.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Cellular State Transformations using Generative Adversarial Networks

1 code implementation • 28 Jun 2019 • Colin Targonski, Benjamin T. Shealy, Melissa C. Smith, F. Alex Feltus

We introduce a novel method to unite deep learning with biology by which generative adversarial networks (GANs) generate transcriptome perturbations and reveal condition-defining gene expression patterns.

Generalized Value Iteration Networks: Life Beyond Lattices

1 code implementation • 8 Jun 2017 • Sufeng. Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovačević

GVIN emulates the value iteration algorithm by using a novel graph convolution operator, which enables GVIN to learn and plan on irregular spatial graphs.

Q-Learning