Faculty

Institution

Unit

Venue

Malcolm Slaney

Adjunct Professor

Stanford University

Affiliations

School of Humanities and Sciences

Music

Malcolm Slaney is currently serving as a Music Adjunct Professor at Stanford University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Malcolm Slaney

Stanford University

Adjunct Professor

You can click a keyword to filter the displayed items

computer science machine learning linguistics neuroscience speech processing pattern recognition data science information retrieval natural language processing signal processing computer vision music information retrieval audio signal processing cognitive neuroscience digital signal processing audio retrieval auditory science audio analysis knowledge discovery multimedia information processing acoustic signal processing multimedia retrieval hearing research multimedia computing spoken language processing neural science speech technology eeg signal processing multimedia modeling narrative image databases multimedia analysis acoustical engineering locality-sensitive hashing machine vision music perception spoken language technology web search speech communication machine learning research music science audio electroacoustics semantic tagging image retrieval music classification vision research image similarity supervised learning psychoacoustics bioacoustics brain science video rewrite multiscale spectro-temporal modulations auditory brain ecological validity key extraction rapid ocular responses timbre space automatic chord recognition current directions cognitive electrophysiology speech synthesis principal component analysis neuroinformatics motion analysis video processing social multimedia tagging terminology extraction semantic similarity spatial audio cnn architectures large-scale audio classification attentional selection single-trial eeg cocktail party environment future challenges auditory physiology attention auditory modeling psychophysics cognitive science audiology auditory perception

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Real-Time Control of a Hearing Instrument With Eeg-Based Attention Decoding. Journal of Neural Engineering (2025)

auditory sciencesoundspeech processingreal-time controlaudiologyhearing researcheeg signal processinghearing loss

Comparing Human and Machine Speech Recognition in Noise With Quicksin. JASA Express Letters (2024)

Malcolm SlaneyMatthew B. Fitzgerald

computer sciencespeech processinghuman-computer interactionspeech recognitionspeech technologynoise

Real-Time Control of a Hearing Instrument With Eeg-Based Attention Decoding. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Jens HjortkjærDaniel D.E. WongAlessandro CataniaJonatan Märcher-RørstedEnea CeoliniSøren A. FuglsangIlya KiselevGiovanni Di LibertoShih-Chii LiuTorsten DauMalcolm SlaneyAlain de Cheveigné

electrophysiologycognitive neuroscienceneurosciencereal-time controlhearing instrumenteeg-based attention decodingaudiologyeeg signal processingcomputational neuroscience

Disentangling Speech From Surroundings With Neural Embeddings. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Ahmed OmranNeil ZeghidourZalán BorsosFélix de Chaumont QuitryMalcolm SlaneyMarco Tagliasacchi

computer visiondeep learningneural embeddingsneurosciencenatural language processingmachine learning

Neural Architecture Search for Energy-Efficient Always-on Audio Machine Learning. Neural Computing and Applications (2023)

Daniel T. SpeckhardKarolis MisiunasSagi PerelTenghui ZhuSimon CarlileMalcolm Slaney

neurosciencemachine learning

Comment on the Point of View “Ecological Validity, External Validity and Mundane Realism in Hearing Science”. Ear and Hearing (2022)

Gitte KeidserGraham NaylorDouglas S. BrungartAndreas CaduffJennifer CamposSimon CarlileMark G. CarpenterGiso GrimmVolker HohmannInga HolubeStefan LaunerThomas LunnerRavish MehraFrances RapportMalcolm SlaneyKarolina Smeds

external validitymundane realismecological validitycognitive science

Multi-Channel Speech Denoising for Machine Ears. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)

Cong HanE. Merve KayaKyle HoeferMalcolm SlaneySimon Carlile

spoken language technologysignal processingacoustic signal processingmachine earsspeech processingaudio signal processingelectrical engineeringdigital signal processingspeech technology

Neural Architecture Search for Energy Efficient Always-on Audio Models. (2022)

Daniel T. SpeckhardKarolis MisiunasSagi PerelTenghui ZhuSimon CarlileMalcolm Slaney

energy efficiencycomputer science

Auditory Stimulus-Response Modeling With a Match-Mismatch Task. Journal of Neural Engineering (2021)

Alain de CheveignéMalcolm SlaneySøren A FuglsangJens Hjortkjaer

neural computationneural sciencesystems neurosciencecognitive neuroscienceneuroscienceneural engineeringcognitive sciencecomputational neuroscienceauditory modelingmatch-mismatch taskauditory stimulus-response modeling

Author Response for"Auditory Stimulus-Response Modeling With a Match-Mismatch Task". (2021)

None Alain de CheveignéNone Malcolm SlaneyNone Søren FuglsangNone Jens Hjortkjaer

experimental psychologybehavioral sciencesauthor responsematch-mismatch taskauditory stimulus-response modeling

1
2
3
4
5
12
10 / page

Malcolm Slaney

Adjunct Professor

Stanford University

Affiliations

School of Humanities and Sciences

Music

Malcolm Slaney is currently serving as a Music Adjunct Professor at Stanford University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Malcolm Slaney

Stanford University

Adjunct Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Real-Time Control of a Hearing Instrument With Eeg-Based Attention Decoding. Journal of Neural Engineering (2025)

auditory sciencesoundspeech processingreal-time controlaudiologyhearing researcheeg signal processinghearing loss

Comparing Human and Machine Speech Recognition in Noise With Quicksin. JASA Express Letters (2024)

Malcolm SlaneyMatthew B. Fitzgerald

computer sciencespeech processinghuman-computer interactionspeech recognitionspeech technologynoise

Real-Time Control of a Hearing Instrument With Eeg-Based Attention Decoding. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Jens HjortkjærDaniel D.E. WongAlessandro CataniaJonatan Märcher-RørstedEnea CeoliniSøren A. FuglsangIlya KiselevGiovanni Di LibertoShih-Chii LiuTorsten DauMalcolm SlaneyAlain de Cheveigné

electrophysiologycognitive neuroscienceneurosciencereal-time controlhearing instrumenteeg-based attention decodingaudiologyeeg signal processingcomputational neuroscience

Disentangling Speech From Surroundings With Neural Embeddings. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Ahmed OmranNeil ZeghidourZalán BorsosFélix de Chaumont QuitryMalcolm SlaneyMarco Tagliasacchi

computer visiondeep learningneural embeddingsneurosciencenatural language processingmachine learning

Neural Architecture Search for Energy-Efficient Always-on Audio Machine Learning. Neural Computing and Applications (2023)

Daniel T. SpeckhardKarolis MisiunasSagi PerelTenghui ZhuSimon CarlileMalcolm Slaney

neurosciencemachine learning

Comment on the Point of View “Ecological Validity, External Validity and Mundane Realism in Hearing Science”. Ear and Hearing (2022)

external validitymundane realismecological validitycognitive science

Multi-Channel Speech Denoising for Machine Ears. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)

Cong HanE. Merve KayaKyle HoeferMalcolm SlaneySimon Carlile

spoken language technologysignal processingacoustic signal processingmachine earsspeech processingaudio signal processingelectrical engineeringdigital signal processingspeech technology

Neural Architecture Search for Energy Efficient Always-on Audio Models. (2022)

Daniel T. SpeckhardKarolis MisiunasSagi PerelTenghui ZhuSimon CarlileMalcolm Slaney

energy efficiencycomputer science

Auditory Stimulus-Response Modeling With a Match-Mismatch Task. Journal of Neural Engineering (2021)

Alain de CheveignéMalcolm SlaneySøren A FuglsangJens Hjortkjaer

Author Response for"Auditory Stimulus-Response Modeling With a Match-Mismatch Task". (2021)

None Alain de CheveignéNone Malcolm SlaneyNone Søren FuglsangNone Jens Hjortkjaer

experimental psychologybehavioral sciencesauthor responsematch-mismatch taskauditory stimulus-response modeling

1
2
3
4
5
12
10 / page

Similar Faculty Members

Zhiyao Duan

Institution

University of Rochester

computer audition

music information retrieval

Michael A. Casey

Institution

Dartmouth College

music information retrieval

computer music

Juan Pablo Bello

Institution

New York University

sound computing, signal processing, machine learning, computational perception

music

Ming Dong

Institution

Wayne State University

machine learning

computer science

Bryan Pardo

Institution

Northwestern University

machine learning

computer science

Shlomo Dubnov

Institution

University of California, San Diego

computational musicology

music information retrieval

Florian Metze

Institution

Carnegie Mellon University

speech recognition

speech technology

Paris Smaragdis

Institution

University of Illinois Urbana-Champaign

music information retrieval

music technology (electronic and digital)

Denis Pelli

Institution

New York University

visual system

neuroscience

Mounya Elhilali

Institution

Johns Hopkins University

neuroscience

cognitive neuroscience

Similar Faculty Members

Zhiyao Duan

Institution

University of Rochester

computer audition

music information retrieval

Michael A. Casey

Institution

Dartmouth College

music information retrieval

computer music

Juan Pablo Bello

Institution

New York University

sound computing, signal processing, machine learning, computational perception

music

Ming Dong

Institution

Wayne State University

machine learning

computer science

Bryan Pardo

Institution

Northwestern University

machine learning

computer science

Shlomo Dubnov

Institution

University of California, San Diego

computational musicology

music information retrieval

Florian Metze

Institution

Carnegie Mellon University

speech recognition

speech technology

Paris Smaragdis

Institution

University of Illinois Urbana-Champaign

music information retrieval

music technology (electronic and digital)

Denis Pelli

Institution

New York University

visual system

neuroscience

Mounya Elhilali

Institution

Johns Hopkins University

neuroscience

cognitive neuroscience