Ivo Merks

Signal Processing · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 17 citations into it; #6,441 of 7,572 by trust here, #4,051 by citations
• Cognitive Neuroscience — 7 citations into it; #8,525 of 10,852 by trust here, #6,723 by citations
• Computational Mechanics — 7 citations into it; #8,564 of 10,001 by trust here, #5,157 by citations

Whom Ivo Merks trusts

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

1. Deliang Wang (in Signal Processing)
2. P. Loizou (in Signal Processing)
3. Nicoleta Roman (in Signal Processing)
4. Y. Hu (in Signal Processing)

Who trusts Ivo Merks

1. Deliang Wang (in Signal Processing)
2. Zhong-Qiu Wang (in Signal Processing)

Papers from Ivo Merks's perspective

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

1. Long Short-Term Memory
2. A Fast Learning Algorithm for Deep Belief Nets
3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
5. The Kaldi Speech Recognition Toolkit
6. An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech
7. An algorithm that improves speech intelligibility in noise for normal-hearing listeners. (Journal of the Acoustical Society of America)
8. Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling
9. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
10. Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions.

Their papers

• Learning Spectral Mapping for Speech Dereverberation and Denoising (2015) — 243 citations