Andy M. Sarroff
Signal Processing · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 16 citations into it
Whom Andy M. Sarroff trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonathan Le Roux (in Signal Processing)
- John R. Hershey (in Signal Processing)
Papers from Andy M. Sarroff's perspective
Ordered by how strongly the researchers Andy M. Sarroff trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep clustering: Discriminative embeddings for segmentation and separation
- Complex Ratio Masking for Monaural Speech Separation
- Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks
- Alternative Objective Functions for Deep Clustering
- Phase Processing for Single-Channel Speech Enhancement: History and recent advances
- An Experimental Study on Speech Enhancement Based on Deep Neural Networks
- Speech enhancement based on deep denoising autoencoder
- Single-Channel Multi-Speaker Separation Using Deep Clustering
- Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- The Phasebook: Building Complex Masks via Discrete Representations for Source Separation (2019) — 14 citations