Ethan Manilow
Signal Processing · 2019–2023
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 32 citations into it
Whom Ethan Manilow trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- John R. Hershey (in Signal Processing)
- Jonathan Le Roux (in Signal Processing)
Papers from Ethan Manilow's perspective
Ordered by how strongly the researchers Ethan Manilow trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
- Deep clustering: Discriminative embeddings for segmentation and separation
- Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks
- SoundStream: An End-to-End Neural Audio Codec (IEEE/ACM Transactions on Audio Speech and Language Processing)
- Discriminatively trained recurrent neural networks for single-channel speech separation
- AudioLM: A Language Modeling Approach to Audio Generation
- SDR – Half-baked or Well Done?
- TaSNet: Time-Domain Audio Separation Network for Real-Time, Single-Channel Speech Separation
Their papers
- WHAM!: Extending Speech Separation to Noisy Environments (2019) — 507 citations
- SingSong: Generating musical accompaniments from singing (2023) — 79 citations