Yu Tsao

Signal Processing · 2013–2022

A researcher in the Science corpus: 18 papers; trusts 203 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Signal Processing — 203 citations into it; #687 of 7,572 by trust here, #342 by citations
Artificial Intelligence — 174 citations into it; #4,108 of 35,345 by trust here, #3,726 by citations
Speech & Audio — 112 citations into it; #397 of 1,076 by trust here, #368 by citations
Computer Vision and Pattern Recognition — 66 citations into it; #12,910 of 21,575 by trust here, #8,831 by citations
Computational Mechanics — 48 citations into it
Generative Models — 39 citations into it; #688 of 1,956 by trust here, #696 by citations
Natural Language Processing — 35 citations into it
Cognitive Neuroscience — 29 citations into it; #8,255 of 10,852 by trust here, #3,544 by citations

Whom Yu Tsao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Yu Tsao overall

Papers from Yu Tsao's perspective

Ordered by how strongly the researchers Yu Tsao trusts endorse each paper. Same corpus, a different order for every researcher.

Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
ImageNet classification with deep convolutional neural networks
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Long Short-Term Memory
Attention is All you Need (Neural Information Processing Systems)
Gradient-based learning applied to document recognition
ImageNet: A large-scale hierarchical image database
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
GENERATIVE ADVERSARIAL NETS

Their papers

Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks (2017) — 326 citations
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement (2019) — 419 citations
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement (2021) — 305 citations
Speech enhancement based on deep denoising autoencoder (2013) — 851 citations
Recurrent neural network based language model personalization by social network crowdsourcing (2013) — 38 citations
Voice conversion from non-parallel corpora using variational auto-encoder (2016) — 319 citations
Locally Linear Embedding for Exemplar-Based Spectral Conversion (2016) — 37 citations
Conditional Diffusion Probabilistic Model for Speech Enhancement (2022) — 299 citations
The AS-NU System for the M2VoC Challenge (2021)
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech (2019) — 651 citations
Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders (2019) — 308 citations
MOSNet: Deep Learning based Objective Assessment for Voice Conversion (2019) — 373 citations
Bone-conducted speech enhancement using deep denoising autoencoder (2018) — 63 citations
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks (2017) — 297 citations
Raw waveform-based speech enhancement by fully convolutional networks (2017) — 211 citations
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks (2017) — 225 citations
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement (2016) — 196 citations
A probabilistic interpretation for artificial neural network-based voice conversion (2015) — 13 citations