Richard M. Stern

Signal Processing · 1993–2017

A researcher in the Science corpus: 9 papers; trusts 3 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 39 citations into it; #883 of 7,572 by trust here, #1,904 by citations
• Artificial Intelligence — 31 citations into it; #6,534 of 35,345 by trust here, #14,438 by citations
• Speech & Audio — 29 citations into it; #428 of 1,076 by trust here, #680 by citations

Whom Richard M. Stern trusts overall

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

1. Hynek Hermansky
2. Nelson Morgan
3. Rainer Martin
4. Brian Kingsbury

Who trusts Richard M. Stern overall

1. Dan Hendrycks
2. Thomas G. Dietterich
3. Wei-Ning Hsu
4. Hardik B. Sailor
5. Chanwoo Kim
6. Yang Gao
7. Nasser Mohammadiha
8. Dharmesh M. Agrawal
9. Yu Zhang
10. Erica Cooper

Papers from Richard M. Stern's perspective

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

1. Noise power spectral density estimation based on optimal smoothing and minimum statistics (IEEE Transactions on Speech and Audio Processing)
2. Speech enhancement based on a priori signal to noise estimation
3. Image method for efficiently simulating small‐room acoustics
4. Comparison of Parametric Representation for Monosyllabic Word Recognition in Continuously Spoken Sentences
5. Features Based on Auditory Physiology and Perception
6. Power-Normalized Cepstral Coefficients (PNCC) for robust speech recognition
7. Improved Signal-to-Noise Ratio Estimation for Speech Enhancement (IEEE Transactions on Audio, Speech, and Language Processing)
8. Delta-spectral cepstral coefficients for robust speech recognition
9. Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Power-Normalized Cepstral Coefficients (PNCC) for Robust Speech Recognition (2016) — 448 citations
• Power-Normalized Cepstral Coefficients (PNCC) for robust speech recognition (2012) — 193 citations
• Histogram-based subband powerwarping and spectral averaging for robust speech recognition under matched and multistyle training (2012) — 11 citations
• Robust Features in Deep-Learning-Based Speech Recognition (2017) — 36 citations
• Robust signal-to-noise ratio estimation based on waveform amplitude distribution analysis (2008) — 227 citations
• Features Based on Auditory Physiology and Perception (2012) — 25 citations
• Delta-spectral cepstral coefficients for robust speech recognition (2011) — 128 citations
• Sources of degradation of speech recognition in the telephone network (1994)
• Efficient Cepstral Normalization for Robust Speech Recognition (1993)