Jamie Pool
Signal Processing · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 5 citations into it; #4,901 of 7,572 by trust here, #4,560 by citations
Whom Jamie Pool trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jamie Pool overall
Papers from Jamie Pool's perspective
Ordered by how strongly the researchers Jamie Pool trusts endorse each paper. Same corpus, a different order for every researcher.
- A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement
- SEGAN: Speech Enhancement Generative Adversarial Network
- Subjective Comparison of Speech Enhancement Algorithms
- ViSQOL: an objective speech quality model
- Perceptual Objective Listening Quality Assessment (POLQA), The Third Generation ITU-T Standard for End-to-End Speech Quality Measurement Part I-Temporal Alignment
- Speech Enhancement: Theory and Practice
- Evaluation of Objective Quality Measures for Speech Enhancement
- Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
- Neural Discrete Representation Learning
- Librispeech: An ASR corpus based on public domain audio books
Their papers
- A scalable noisy speech dataset and online subjective test framework (2019) — 186 citations