World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
3370
World Ranking
13760
National Ranking
884

Best Publications

  • Speech production knowledge in automatic speech recognition.

    Simon King;Joe Frankel;Karen Livescu;Erik McDermott

  • Multisyn: Open-domain unit selection for the Festival speech synthesis system

    Robert A. J. Clark;Korin Richmond;Simon King

  • Phonology impacts segmentation in online speech processing

    Luca Onnis;Padraic Monaghan;Korin Richmond;Nick Chater

  • Announcing the Electromagnetic Articulography (Day 1) Subset of the mngu0 Articulatory Corpus

    Korin Richmond;Phil Hoole;Simon King

  • Festival 2 -- build your own general purpose unit selection speech synthesiser

    Robert A J Clark;Korin Richmond;Simon King

  • Estimating articulatory parameters from the acoustic speech signal

    Korin Richmond

  • Integrating Articulatory Features Into HMM-Based Parametric Speech Synthesis

    Zhen-Hua Ling;K. Richmond;J. Yamagishi;Ren-Hua Wang

  • Modelling the uncertainty in recovering articulation from acoustics

    Korin Richmond;Simon King;Paul Taylor

  • Continuous Speech Recognition Using Articulatory Data

    Alan A Wrench;Korin Richmond

  • A Trajectory Mixture Density Network for the Acoustic-Articulatory Inversion Mapping

    Korin Richmond

  • Towards an improved modeling of the glottal source in statistical parametric speech synthesis

    Joao P Cabral;Steve Renals;Korin Richmond;Junichi Yamagishi

  • Deep Architectures for Articulatory Inversion

    Benigno Uria;Iain Murray;Steve Renals;Korin Richmond

  • An Automatic Speech Recognition System Using Neural Networks and Linear Dynamic Models to Recover and Model Articulatory Traces

    Joe Frankel;Korin Richmond;Simon King;Paul Taylor

  • An Analysis of HMM-based prediction of articulatory movements

    Zhen-Hua Ling;Korin Richmond;Junichi Yamagishi

  • Attentive Filtering Networks for Audio Replay Attack Detection

    Cheng-I Lai;Alberto Abad;Korin Richmond;Junichi Yamagishi

  • Glottal Spectral Separation for Parametric Speech Synthesis

    João P. Cabral;Steve Renals;Korin Richmond;Junichi Yamagishi

  • Trajectory mixture density networks with multiple mixtures for acoustic-articulatory inversion

    Korin Richmond

  • Articulatory Control of HMM-Based Parametric Speech Synthesis Using Feature-Space-Switched Multiple Regression

    Zhen-Hua Ling;K. Richmond;J. Yamagishi

  • A Deep Neural Network for Acoustic-Articulatory Speech Inversion

    Benigno Uria;Steve Renals;Korin Richmond

  • HMM-based speech synthesiser using the LF-model of the glottal source

    Joao P. Cabral;Steve Renals;Junichi Yamagishi;Korin Richmond

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