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Computer Science

D-Index
61
Citations
17109
World Ranking
3031
National Ranking
1484

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to speech recognition

Overview

Bhiksha Raj is affiliated with Carnegie Mellon University in the United States, focusing their research primarily within the field of Computer Science. Their extensive publication record spans several specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, and Cognitive Neuroscience.

Their research engages deeply with topics such as Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing, Adversarial Robustness in Machine Learning, Natural Language Processing Techniques, Topic Modeling, and Domain Adaptation and Few-Shot Learning.

Bhiksha Raj has contributed extensively to numerous publication venues. Frequent outlets for their work include:

  • arXiv (Cornell University)
  • Interspeech 2022
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Computer Speech & Language

Notable recent papers authored or co-authored by Bhiksha Raj include:

  • FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning, 2022, arXiv (Cornell University)
  • SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning, 2023, arXiv (Cornell University)
  • Contrast and Order Representations for Video Self-supervised Learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks, 2020, arXiv (Cornell University)
  • USB: A Unified Semi-supervised Learning Benchmark for Classification, 2022, arXiv (Cornell University)

Frequent collaborators in their work include Rita Singh, Soham Deshmukh, Jindong Wang, Hira Dhamyal, and Muqiao Yang.

Bhiksha Raj was recognized by the IEEE as a Fellow in 2017 for contributions to speech recognition.

Best Publications

  • SphereFace: Deep Hypersphere Embedding for Face Recognition

    Weiyang Liu;Yandong Wen;Zhiding Yu;Ming Li

  • Sphinx-4: a flexible open source framework for speech recognition

    Willie Walker;Paul Lamere;Philip Kwok;Bhiksha Raj

  • A vector Taylor series approach for environment-independent speech recognition

    P.J. Moreno;B. Raj;R.M. Stern

  • DCASE 2017 challenge setup: tasks, datasets and baseline system

    Annamaria Mesaros;Toni Heittola;Aleksandr Diment;Benjamin Martinez Elizalde

  • A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

    Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

  • Speech denoising using nonnegative matrix factorization with priors

    K.W. Wilson;B. Raj;P. Smaragdis;A. Divakaran

  • Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition

    Zhenzhong Lan;Ming Lin;Xuanchong Li;Alexander G. Hauptmann

  • Supervised and semi-supervised separation of sounds from single-channel mixtures

    Paris Smaragdis;Bhiksha Raj;Madhusudana Shashanka

  • Reconstruction of missing features for robust speech recognition

    Bhiksha Raj;Michael L. Seltzer;Richard M. Stern

  • Missing-feature approaches in speech recognition

    B. Raj;R.M. Stern

  • A Bayesian Classifier for Spectrographic Mask Estimation for Missing Feature Speech Recognition

    Michael L. Seltzer;Bhiksha Raj;Richard M. Stern

  • Greedy sparsity-constrained optimization

    Sohail Bahmani;Bhiksha Raj;Petros T. Boufounos

  • FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

    Unknown

  • Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers

    Manas Pathak;Shantanu Rane;Bhiksha Raj

  • A Probabilistic Latent Variable Model for Acoustic Modeling

    P. Smaragdis;B. Raj;M. Shashanka

  • Likelihood-maximizing beamforming for robust hands-free speech recognition

    M.L. Seltzer;B. Raj;R.M. Stern

  • Audio Event Detection using Weakly Labeled Data

    Anurag Kumar;Bhiksha Raj

  • Techniques for Noise Robustness in Automatic Speech Recognition

    Tuomas Virtanen;Rita Singh;Bhiksha Raj

  • Probabilistic latent variable models as nonnegative factorizations.

    Madhusudana V. S. Shashanka;Bhiksha Raj;Paris Smaragdis

  • Non-negative hidden Markov modeling of audio with application to source separation

    Gautham J. Mysore;Paris Smaragdis;Bhiksha Raj

  • On the Origin of Deep Learning

    Haohan Wang;Bhiksha Raj;Eric P. Xing

Frequent Co-Authors

Richard M. Stern
Richard M. Stern Carnegie Mellon University
Paris Smaragdis
Paris Smaragdis University of Illinois at Urbana-Champaign
Isabel Trancoso
Isabel Trancoso Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Tuomas Virtanen
Tuomas Virtanen Tampere University
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Florian Metze
Florian Metze Carnegie Mellon University
Pedro J. Moreno
Pedro J. Moreno Google (United States)
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn

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