David Chu

Signal Processing · with Georgiev · 2017

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

Whom David Chu trusts

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

  1. A. de Cheveigné (in Speech & Audio)
  2. Hideki Kawahara (in Speech & Audio)

Papers from David Chu's perspective

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

  1. Comparison of different implementations of MFCC (Journal of Computational Science and Technology)
  2. YIN, a fundamental frequency estimator for speech and music.
  3. Hierarchical control of multiple resources in distributed real-time and embedded systems (Euromicro Conference on Real-Time Systems)
  4. Small-footprint keyword spotting using deep neural networks
  5. EmotionSense: a mobile phones based adaptive platform for experimental social psychology research (Ubiquitous Computing)
  6. An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices
  7. DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning (Ubiquitous Computing)
  8. Programming Massively Parallel Processors. A Hands-on Approach (Scalable Computing : Practice and Experience)
  9. PacketShader: a GPU-accelerated software router (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  10. DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

Their papers