Armin Sehr

Signal Processing · 2013–2016

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

Subfields

• Signal Processing — 15 citations into it; #4,359 of 7,572 by trust here, #2,221 by citations

Whom Armin Sehr trusts overall

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

1. P. Loizou
2. Y. Hu

Who trusts Armin Sehr overall

1. Mirco Ravanelli

Papers from Armin Sehr's perspective

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

1. Evaluation of Objective Quality Measures for Speech Enhancement
2. An investigation of deep neural networks for noise robust speech recognition
3. Missing data
4. Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature
5. The MERL/MELCO/TUM system for the REVERB Challenge using Deep Recurrent Neural Network Feature Enhancement
6. Speech Dereverberation
7. A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech (IEEE Transactions on Audio, Speech, and Language Processing)
8. Distant Speech Recognition
9. Speech Enhancement: Theory and Practice
10. Subjective Comparison of Speech Enhancement Algorithms

Their papers

• The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech (2013) — 431 citations
• A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research (2016) — 398 citations