A. Krishnaswamy

Signal Processing · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 37 citations into it
• Artificial Intelligence — 23 citations into it
• Speech & Audio — 18 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Computational Mechanics — 9 citations into it

Whom A. Krishnaswamy trusts overall

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

1. Jean-Marc Valin

Papers from A. Krishnaswamy's perspective

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

1. WaveNet: A Generative Model for Raw Audio
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Non-local Neural Networks
4. Neural Discrete Representation Learning
5. ImageNet classification with deep convolutional neural networks
6. Librispeech: An ASR corpus based on public domain audio books
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Self-Attention Generative Adversarial Networks
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Enhancing into the Codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders (2021) — 28 citations
• PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss (2020) — 91 citations