Richard Christian Hendriks

Signal Processing · 2010–2017

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 17 citations into it; #711 of 7,572 by trust here, #812 by citations
• Cognitive Neuroscience — 12 citations into it; #866 of 10,852 by trust here, #1,790 by citations
• Computational Mechanics — 7 citations into it; #1,256 of 10,001 by trust here, #1,506 by citations

Whom Richard Christian Hendriks trusts overall

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

1. Rainer Martin
2. P. Loizou
3. Israel Cohen
4. Sundarrajan Rangachari
5. Peter Vary
6. Alan Bundy
7. Y. Hu

Who trusts Richard Christian Hendriks overall

1. Deliang Wang
2. Qiquan Zhang
3. Ashutosh Pandey
4. Zheng-Hua Tan
5. Donald S. Williamson
6. Aaron Nicolson
7. Ke Tan
8. Yuxuan Wang
9. Daniel Michelsanti
10. Anurag Kumar

Papers from Richard Christian Hendriks's perspective

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

1. Speech Enhancement Using a-Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator
2. Noise power spectral density estimation based on optimal smoothing and minimum statistics (IEEE Transactions on Speech and Audio Processing)
3. Speech enhancement based on a priori signal to noise estimation
4. Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging (IEEE Transactions on Speech and Audio Processing)
5. Speech Enhancement: Theory and Practice
6. A Speech Intelligibility Index-based approach to predict the speech reception threshold for sentences in fluctuating noise for normal-hearing listeners. (Journal of the Acoustical Society of America)
7. A noise-estimation algorithm for highly non-stationary environments (Speech Communication)
8. Evaluation of Objective Quality Measures for Speech Enhancement
9. Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions.
10. Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation. (Journal of the Acoustical Society of America)

Their papers

• A short-time objective intelligibility measure for time-frequency weighted noisy speech (2010) — 1,274 citations
• On the information rate of speech communication (2017) — 26 citations
• Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay (2012) — 555 citations
• An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech (2011) — 2,397 citations