World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
13766
World Ranking
7397
National Ranking
3225

Overview

Nima Mesgarani is affiliated with Columbia University in the United States. Their research primarily focuses on computer science and neuroscience, with significant contributions in the subfields of cognitive neuroscience, signal processing, artificial intelligence, experimental and cognitive psychology, and developmental and educational psychology.

The main topics covered in their work include:

  • Neuroscience and Music Perception
  • Neural dynamics and brain function
  • Speech and Audio Processing
  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Hearing Loss and Rehabilitation
  • Blind Source Separation Techniques

The scientist has published extensively with frequent appearance in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Journal of Neuroscience
  • SSRN Electronic Journal

Some of their recent papers include:

  • "Cortical encoding of melodic expectations in human temporal cortex," 2020, eLife
  • "Large-scale single-neuron speech sound encoding across the depth of human cortex," 2023, Nature
  • "Multiscale temporal integration organizes hierarchical computation in human auditory cortex," 2022, Nature Human Behaviour
  • "Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models," 2020, eLife
  • "Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception," 2020, NeuroImage

Frequent coauthors in their research collaborations include:

  • Ashesh D. Mehta
  • Stephan Bickel
  • Yinghao Aaron Li
  • Cong Han
  • Xilin Jiang

Best Publications

  • Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

    Yi Luo;Nima Mesgarani

  • Selective cortical representation of attended speaker in multi-talker speech perception

    Nima Mesgarani;Edward F. Chang

  • Phonetic feature encoding in human superior temporal gyrus

    Nima Mesgarani;Connie Cheung;Keith Johnson;Edward F. Chang

  • 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

  • Functional organization of human sensorimotor cortex for speech articulation

    Kristofer E. Bouchard;Nima Mesgarani;Keith Johnson;Edward F. Chang

  • TaSNet: Time-Domain Audio Separation Network for Real-Time, Single-Channel Speech Separation

    Yi Luo;Nima Mesgarani

  • Reconstructing Speech from Human Auditory Cortex

    Brian N. Pasley;Stephen V. David;Nima Mesgarani;Nima Mesgarani;Adeen Flinker

  • Deep attractor network for single-microphone speaker separation

    Zhuo Chen;Yi Luo;Nima Mesgarani

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

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

  • Speaker-Independent Speech Separation With Deep Attractor Network

    Yi Luo;Zhuo Chen;Nima Mesgarani

  • Phoneme representation and classification in primary auditory cortex.

    Nima Mesgarani;Stephen V. David;Jonathan B. Fritz;Shihab A. Shamma

  • Towards reconstructing intelligible speech from the human auditory cortex.

    Hassan Akbari;Bahar Khalighinejad;Jose L. Herrero;Ashesh D. Mehta;Ashesh D. Mehta

  • Estimating sparse spectro-temporal receptive fields with natural stimuli.

    Stephen V. David;Nima Mesgarani;Shihab A. Shamma

  • Influence of context and behavior on stimulus reconstruction from neural activity in primary auditory cortex.

    Nima Mesgarani;Stephen V. David;Jonathan B. Fritz;Shihab A. Shamma

  • End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation

    Yi Luo;Zhuo Chen;Nima Mesgarani;Takuya Yoshioka

  • Rapid synaptic depression explains nonlinear modulation of spectro-temporal tuning in primary auditory cortex by natural stimuli.

    Stephen V. David;Nima Mesgarani;Jonathan B. Fritz;Shihab A. Shamma

  • Deep clustering and conventional networks for music separation: Stronger together

    Yi Luo;Zhuo Chen;John R. Hershey;Jonathan Le Roux

  • Human Superior Temporal Gyrus Organization of Spectrotemporal Modulation Tuning Derived from Speech Stimuli

    Patrick W. Hullett;Liberty S. Hamilton;Nima Mesgarani;Christoph E. Schreiner

  • Mechanisms of noise robust representation of speech in primary auditory cortex

    Nima Mesgarani;Stephen V. David;Jonathan B. Fritz;Shihab A. Shamma;Shihab A. Shamma

  • Neural decoding of attentional selection in multi-speaker environments without access to clean sources

    James O’Sullivan;Zhuo Chen;Jose Herrero;Guy M McKhann

  • Proceedings of the 38th Annual Conference of the Cognitive Science Society, CogSci 2016

    Okko Räsänen;Tasha Nagamine;Nima Mesgarani

  • FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing

    Yi Luo;Enea Ceolini;Cong Han;Shih-Chii Liu

Frequent Co-Authors

Shihab A. Shamma
Shihab A. Shamma University of Maryland, College Park
Ashesh D. Mehta
Ashesh D. Mehta Feinstein Institute for Medical Research
Hynek Hermansky
Hynek Hermansky Johns Hopkins University
Stephen V. David
Stephen V. David Oregon Health & Science University
Edward F. Chang
Edward F. Chang University of California, San Francisco
Jonathan B. Fritz
Jonathan B. Fritz New York University
Alain de Cheveigné
Alain de Cheveigné École Normale Supérieure
Charles E. Schroeder
Charles E. Schroeder Nathan Kline Institute for Psychiatric Research
Catherine A. Schevon
Catherine A. Schevon Columbia University Medical Center
Shih-Chii Liu
Shih-Chii Liu University of Zurich

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