2026 Malcolm Slaney: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	64	2519	2440	1257	1209	205	30562

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

2519

2440

1257

1209

205

30562

Research.com Recognitions

2018 - ACM Senior Member

Overview

Malcolm Slaney is affiliated with Stanford University in the United States. Their research primarily spans the fields of Computer Science and Neuroscience, with significant focus on Cognitive Neuroscience and Signal Processing as specialized subfields.

The main topics addressed in their work include:

Hearing Loss and Rehabilitation
Speech and Audio Processing
Music and Audio Processing
Neural dynamics and brain function
Noise Effects and Management
EEG and Brain-Computer Interfaces
Speech Recognition and Synthesis

Malcolm Slaney has contributed multiple publications to several frequent academic venues, notably:

arXiv (Cornell University)
Ear and Hearing
Journal of Neural Engineering
bioRxiv (Cold Spring Harbor Laboratory)
Neural Computing and Applications

Their recent published papers include:

"The Quest for Ecological Validity in Hearing Science: What It Is, Why It Matters, and How to Advance It," 2020, in Ear and Hearing
"Auditory stimulus-response modeling with a match-mismatch task," 2021, in Journal of Neural Engineering
"Auditory Measures for the Next Billion Users," 2020, in Ear and Hearing
"Neural architecture search for energy-efficient always-on audio machine learning," 2023, in Neural Computing and Applications
"Real-time control of a hearing instrument with EEG-based attention decoding," 2025, in Journal of Neural Engineering

Frequent collaborators in their work include:

Simon Carlile
Alain de Cheveigné
Søren A. Fuglsang
Jens Hjortkjær
Richard F. Lyon

In 2018, Malcolm Slaney was recognized as an ACM Senior Member. Their work encompasses research in auditory systems, neural modeling, and brain-computer interface applications related to hearing technologies.

Best Publications

Principles of Computerized Tomographic Imaging

Avinash C. Kak;Malcolm Slaney;Ge Wang

10775
Citations
CNN architectures for large-scale audio classification

Shawn Hershey;Sourish Chaudhuri;Daniel P. W. Ellis;Jort F. Gemmeke

2685
Citations
Construction and evaluation of a robust multifeature speech/music discriminator

E. Scheirer;M. Slaney

1501
Citations
Content-Based Music Information Retrieval: Current Directions and Future Challenges

M.A. Casey;R. Veltkamp;M. Goto;M. Leman

1019
Citations
Video Rewrite: driving visual speech with audio

Christoph Bregler;Michele Covell;Malcolm Slaney

1002
Citations
Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG

James A. O'Sullivan;Alan J. Power;Nima Mesgarani;Siddharth Rajaram

897
Citations
An Efficient Implementation of the Patterson-Holdsworth Auditory Filter Bank

Malcolm Slaney

786
Citations
Limitations of Imaging with First-Order Diffraction Tomography

M. Slaney;A.C. Kak;L.E. Larsen

782
Citations
Locality-Sensitive Hashing for Finding Nearest Neighbors [Lecture Notes]

M. Slaney;M. Casey

508
Citations
An Introduction to Computational Networks and the Computational Network Toolkit

Dong Yu;Adam Eversole;Mike Seltzer;Kaisheng Yao

462
Citations
Discrimination of speech from nonspeech based on multiscale spectro-temporal Modulations

N. Mesgarani;M. Slaney;S.A. Shamma

297
Citations
MSR Identity Toolbox v1.0: A MATLAB Toolbox for Speaker Recognition Research

Seyed Omid Sadjadi;Malcolm Slaney;Larry Heck

291
Citations
System and method for selecting advertisements

Malcolm Slaney;Bonnie M. Johnson;Annarosa Tomasi;Steven E. Saunders

278
Citations
Canonical correlation analysis of image/control-point location coupling for the automatic location of control points

Michele Covell;Malcolm Slaney

277
Citations
Collaborative filtering and the missing at random assumption

Benjamin M. Marlin;Richard S. Zemel;Sam Roweis;Malcolm Slaney

261
Citations
System and method for automatic classification of speech based upon affective content

Malcolm Slaney

256
Citations
System and method for generating a mood gradient

William White;Malcolm Slaney

254
Citations
Baby ears: a recognition system for affective vocalizations

Malcolm Slaney;Gerald McRoberts

246
Citations
A perceptual pitch detector

M. Slaney;R.F. Lyon

241
Citations
System and method for displaying advertisements

J. Thomas Ngo;Malcolm Slaney

234
Citations
Content-Based Music Information Retrieval: Current Directions and Future Challenges Current retrieval systems can handle tens-of-thousands of music tracks but new systems need to aim at huge online music collections that contain tens-of-millions of tracks.

Michael A. Casey;Remco Veltkamp;Masataka Goto;Marc Leman

1
Citations

Frequent Co-Authors

Michele Covell Google (United States)

Kilian Q. Weinberger Cornell University

Avinash C. Kak Purdue University West Lafayette

Alain de Cheveigné École Normale Supérieure

Andreas Stolcke Uniphore

Richard F. Lyon Google (United States)

Shihab A. Shamma University of Maryland, College Park

Rainer Lienhart University of Augsburg

Edmund C. Lalor University of Rochester

Nima Mesgarani Columbia University

External Links

Personal website of Malcolm Slaney Google Scholar page

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