World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
12440
World Ranking
10461
National Ranking
4373

Overview

Richard Rose is affiliated with Google in the United States, where their research activity spans multiple interdisciplinary fields. Their work mainly intersects social sciences and computer science, with particular contributions in artificial intelligence, political science, and signal processing.

Their research interests primarily cover topics related to speech recognition and synthesis, speech and audio processing, and speech and dialogue systems. Additionally, they have explored European Union policy and governance, social policy and reform studies, European socioeconomic and political studies, and issues connected to global security and public health.

Richard Rose's recent publications include the following:

  • Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals, 2020, IEEE Journal of Selected Topics in Signal Processing
  • Cascaded encoders for fine-tuning ASR models on overlapped speech, 2023, arXiv (Cornell University)
  • A deep convolutional neural network for detecting volcanic thermal images, 2024, International Journal of Computational Vision and Robotics

Their work has been published in venues such as the IEEE Journal of Selected Topics in Signal Processing, arXiv, and the International Journal of Computational Vision and Robotics.

Frequent collaborators include Bernhard Weßels, Xiaodong He, Li Deng, Minlie Huang, and Isabel Trancoso, reflecting collaborative efforts across speech and language processing and related interdisciplinary studies.

Best Publications

  • Robust text-independent speaker identification using Gaussian mixture speaker models

    D.A. Reynolds;R.C. Rose

  • Automatic speech recognition and speech variability: A review

    M. Benzeghiba;R. De Mori;O. Deroo;Stephane Dupont

  • A hidden Markov model based keyword recognition system

    R.C. Rose;D.B. Paul

  • System and method for processing speech recognition

    Richard C. Rose;Sarangarajan Pathasarathy;Aaron Edward Rosenberg;Shrikanth Sambasivan Narayanan

  • Speaker normalization using efficient frequency warping procedures

    Li Lee;R.C. Rose

  • System and method of performing user-specific automatic speech recognition

    Bojana Gajic;Shrikanth Sambasivan Narayanan;Sarangarajan Parthasarathy;Richard Cameron Rose

  • A frequency warping approach to speaker normalization

    L. Lee;R. Rose

  • The subspace Gaussian mixture model-A structured model for speech recognition

    Daniel Povey;Lukáš Burget;Mohit Agarwal;Pinar Akyazi

  • Subspace Gaussian Mixture Models for speech recognition

    Daniel Povey;Lukas Burget;Mohit Agarwal;Pinar Akyazi

  • Integrated models of signal and background with application to speaker identification in noise

    R.C. Rose;E.M. Hofstetter;D.A. Reynolds

  • Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models

    Lukas Burget;Petr Schwarz;Mohit Agarwal;Pinar Akyazi

  • Acoustic Modeling for Google Home

    Bo Li;Tara N. Sainath;Arun Narayanan;Joe Caroselli

  • Text independent speaker identification using automatic acoustic segmentation

    R.C. Rose;D.A. Reynolds

  • Systems and methods for dynamic re-configurable speech recognition

    Richard C. Rose;Bojana Gajic

  • Tools and Technologies for Computer-Aided Speech and Language Therapy

    Oscar Saz;Shou-Chun Yin;Eduardo Lleida;Richard Rose

  • A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition

    Aren Jansen;Emmanuel Dupoux;Sharon Goldwater;Mark Johnson

  • Confidence measures for the SWITCHBOARD database

    S. Cox;R. Rose

  • Combined frequency warping and spectral shaping in HMM based speech recognition

    Alexandros Potamianos;Richard Cameron Rose

  • A training procedure for verifying string hypotheses in continuous speech recognition

    R.C. Rose;B.H. Juang;C.H. Lee

  • Utterance verification in continuous speech recognition: decoding and training procedures

    E. Lleida;R.C. Rose

Frequent Co-Authors

Alexandros Potamianos
Alexandros Potamianos National Technical University of Athens
Aaron E. Rosenberg
Aaron E. Rosenberg AT&T (United States)
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Martin Karafiat
Martin Karafiat Brno University of Technology
Lukas Burget
Lukas Burget Brno University of Technology
Daniel Povey
Daniel Povey Xiaomi (China)
Aren Jansen
Aren Jansen Google (United States)
Patrick Kenny
Patrick Kenny École de Technologie Supérieure
Lani Florian
Lani Florian University of Edinburgh

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