Mark J. F. Gales - researchr alias

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Viewing Publication 1 - 100 from 250

2022

2021

Deliberation-Based Multi-Pass Speech SynthesisQingyun Dou, Xixin Wu, Moquan Wan, Yiting Lu, Mark J. F. Gales. interspeech 2021: 136-140 [doi]

Efficient Use of End-to-End Data in Spoken Language ProcessingYiting Lu, Yu Wang 0027, Mark J. F. Gales. icassp 2021: 7518-7522 [doi]

Uncertainty Estimation in Autoregressive Structured PredictionAndrey Malinin, Mark J. F. Gales. iclr 2021: [doi]

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksAndrey Malinin, Neil Band, Yarin Gal, Mark J. F. Gales, Alexander Ganshin, German Chesnokov, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Denis Roginskiy, Mariya Shmatova, Panagiotis Tigas, Boris Yangel. nips 2021: [doi]

Long-Span Summarization via Local Attention and Content SelectionPotsawee Manakul, Mark J. F. Gales. acl 2021: 6026-6041 [doi]

Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization SystemsPotsawee Manakul, Mark J. F. Gales. emnlp 2021: 9359-9368 [doi]

Scaling Ensemble Distribution Distillation to Many Classes with Proxy TargetsMax Ryabinin, Andrey Malinin, Mark J. F. Gales. nips 2021: 6023-6035 [doi]

Analysing Bias in Spoken Language Assessment Using Concept Activation VectorsXizi Wei, Mark J. F. Gales, Kate M. Knill. icassp 2021: 7753-7757 [doi]

2020

Attention Forcing for Speech SynthesisQingyun Dou, Joshua Efiong, Mark J. F. Gales. interspeech 2020: 4014-4018 [doi]

Non-Native Children's Automatic Speech Recognition: The INTERSPEECH 2020 Shared Task ALTA SystemsKate M. Knill, Linlin Wang, Yu Wang 0027, Xixin Wu, Mark J. F. Gales. interspeech 2020: 255-259 [doi]

Automatic Detection of Accent and Lexical Pronunciation Errors in Spontaneous Non-Native English SpeechKonstantinos Kyriakopoulos, Kate M. Knill, Mark J. F. Gales. interspeech 2020: 3052-3056 [doi]

Spoken Language 'Grammatical Error Correction'Yiting Lu, Mark J. F. Gales, Yu Wang 0027. interspeech 2020: 3840-3844 [doi]

Ensemble Distribution DistillationAndrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales. iclr 2020: [doi]

Abstractive Spoken Document Summarization Using Hierarchical Model with Multi-Stage Attention Diversity OptimizationPotsawee Manakul, Mark J. F. Gales, Linlin Wang. interspeech 2020: 4248-4252 [doi]

CUED_SPEECH at TREC 2020 Podcast Summarisation TrackPotsawee Manakul, Mark J. F. Gales. trec 2020: [doi]

Complementary Systems for Off-Topic Spoken Response DetectionVatsal Raina, Mark J. F. Gales, Kate Knill. bea 2020: 41-51 [doi]

Universal Adversarial Attacks on Spoken Language Assessment SystemsVyas Raina, Mark J. F. Gales, Kate M. Knill. interspeech 2020: 3855-3859 [doi]

Ensemble Approaches for Uncertainty in Spoken Language AssessmentXixin Wu, Kate M. Knill, Mark J. F. Gales, Andrey Malinin. interspeech 2020: 3860-3864 [doi]

2019

Exploiting Future Word Contexts in Neural Network Language Models for Speech RecognitionXie Chen, Xunying Liu, Yu Wang 0027, Anton Ragni, Jeremy H. M. Wong, Mark J. F. Gales. taslp, 27(9):1444-1454, 2019. [doi]

Automatic Grammatical Error Detection of Non-native Spoken Learner EnglishKate M. Knill, Mark J. F. Gales, P. P. Manakul, Andrew Caines. icassp 2019: 8127-8131 [doi]

A Deep Learning Approach to Automatic Characterisation of Rhythm in Non-Native English SpeechKonstantinos Kyriakopoulos, Kate M. Knill, Mark J. F. Gales. interspeech 2019: 1836-1840 [doi]

Bi-directional Lattice Recurrent Neural Networks for Confidence EstimationQiujia Li, Preben Ness, Anton Ragni, Mark J. F. Gales. icassp 2019: 6755-6759 [doi]

Disfluency Detection for Spoken Learner EnglishYiting Lu, Mark J. F. Gales, Katherine Knill, Potsawee Manakul, Yu Wang 0027. slte 2019: 74-78 [doi]

Impact of ASR Performance on Spoken Grammatical Error DetectionYiting Lu, Mark J. F. Gales, Kate M. Knill, P. P. Manakul, Linlin Wang, Y. Wang. interspeech 2019: 1876-1880 [doi]

Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial RobustnessAndrey Malinin, Mark J. F. Gales. nips 2019: 14520-14531 [doi]

Learning Between Different Teacher and Student Models in ASRJeremy Heng Meng Wong, Mark J. F. Gales, Yu Wang 0027. asru 2019: 93-99 [doi]

2018

Active Memory Networks for Language ModelingOscar Chen, Anton Ragni, Mark J. F. Gales, Xie Chen. interspeech 2018: 3338-3342 [doi]

A Spectrally Weighted Mixture of Least Square Error and Wasserstein Discriminator Loss for Generative SPSSGilles Degottex, Mark J. F. Gales. slt 2018: 603-609 [doi]

A Log Domain Pulse Model for Parametric Speech SynthesisGilles Degottex, Pierre Lanchantin, Mark J. F. Gales. taslp, 26(1):57-70, 2018. [doi]

Hierarchical RNNs for Waveform-Level Speech SynthesisQingyun Dou, Moquan Wan, Gilles Degottex, Zhiyi Ma, Mark J. F. Gales. slt 2018: 618-625 [doi]

Impact of ASR Performance on Free Speaking Language AssessmentKate Knill, Mark J. F. Gales, Konstantinos Kyriakopoulos, Andrey Malinin, Anton Ragni, Yu Wang, Andrew Caines. interspeech 2018: 1641-1645 [doi]

A Deep Learning Approach to Assessing Non-native Pronunciation of English Using Phone DistancesKonstantinos Kyriakopoulos, Kate Knill, Mark J. F. Gales. interspeech 2018: 1626-1630 [doi]

Predictive Uncertainty Estimation via Prior NetworksAndrey Malinin, Mark J. F. Gales. nips 2018: 7047-7058 [doi]

Automatic Speech Recognition System Development in the "Wild"Anton Ragni, Mark J. F. Gales. interspeech 2018: 2217-2221 [doi]

Waveform-Based Speaker Representations for Speech SynthesisMoquan Wan, Gilles Degottex, Mark J. F. Gales. interspeech 2018: 897-901 [doi]

Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem SystemsYu Wang, Chao Zhang, Mark J. F. Gales, Philip C. Woodland. interspeech 2018: 872-876 [doi]

Improving Interpretability and Regularization in Deep LearningChunyang Wu, Mark J. F. Gales, Anton Ragni, Penny Karanasou, Khe Chai Sim. taslp, 26(2):256-265, 2018. [doi]

2017

Investigating Bidirectional Recurrent Neural Network Language Models for Speech RecognitionX. Chen, Anton Ragni, X. Liu, Mark J. F. Gales. interspeech 2017: 269-273 [doi]

Recurrent neural network language models for keyword searchX. Chen, Anton Ragni, J. Vasilakes, X. Liu, Kate Knill, Mark J. F. Gales. icassp 2017: 5775-5779 [doi]

Low-Resource Speech Recognition and Keyword-SpottingMark J. F. Gales, Kate M. Knill, Anton Ragni. specom 2017: 3-19 [doi]

I-Vectors and Structured Neural Networks for Rapid Adaptation of Acoustic ModelsPenny Karanasou, Chunyang Wu, Mark J. F. Gales, Philip C. Woodland. taslp, 25(4):818-828, 2017. [doi]

Use of Graphemic Lexicons for Spoken Language AssessmentKate M. Knill, Mark J. F. Gales, K. Kyriakopoulos, Anton Ragni, Yu Wang. interspeech 2017: 2774-2778 [doi]

Automatic Characterisation of the Pronunciation of Non-native English Speakers using Phone Distance FeaturesKonstantinos Kyriakopoulos, Mark J. F. Gales, Kate Knill. slte 2017: 59-64 [doi]

A hierarchical attention based model for off-topic spontaneous spoken response detectionAndrey Malinin, Kate Knill, Mark J. F. Gales. asru 2017: 397-403 [doi]

Incorporating Uncertainty into Deep Learning for Spoken Language AssessmentAndrey Malinin, Anton Ragni, Kate Knill, Mark J. F. Gales. acl 2017: 45-50 [doi]

An attention based model for off-topic spontaneous spoken response detection: An Initial StudyAndrey Malinin, Kate Knill, Anton Ragni, Yu Wang, Mark J. F. Gales. slte 2017: 144-149 [doi]

Stimulated training for automatic speech recognition and keyword search in limited resource conditionsAnton Ragni, C. Wu, Mark J. F. Gales, J. Vasilakes, Kate M. Knill. icassp 2017: 4830-4834 [doi]

Integrated speaker-adaptive speech synthesisMoquan Wan, Gilles Degottex, Mark J. F. Gales. asru 2017: 705-711 [doi]

Multi-task ensembles with teacher-student trainingJeremy H. M. Wong, Mark J. F. Gales. asru 2017: 84-90 [doi]

Student-Teacher Training with Diverse Decision Tree EnsemblesJeremy H. M. Wong, Mark J. F. Gales. interspeech 2017: 117-121 [doi]

Deep Activation Mixture Model for Speech RecognitionChunyang Wu, Mark J. F. Gales. interspeech 2017: 1611-1615 [doi]

2016

Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech RecognitionXie Chen, Xunying Liu, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland. taslp, 24(11):2146-2157, 2016. [doi]

A Pulse Model in Log-domain for a Uniform SynthesizerGilles Degottex, Pierre Lanchantin, Mark J. F. Gales. ssw 2016: 214-220 [doi]

Incorporating a Generative Front-End Layer to Deep Neural Network for Noise Robust Automatic Speech RecognitionSouvik Kundu, Khe Chai Sim, Mark J. F. Gales. interspeech 2016: 2359-2363 [doi]

Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition SystemsPierre Lanchantin, Mark J. F. Gales, Penny Karanasou, X. Liu, Y. Qian, L. Wang, Philip C. Woodland, C. Zhang. interspeech 2016: 3057-3061 [doi]

Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of EnglishDiane Litman, Steve J. Young, Mark J. F. Gales, Kate Knill, Karen Ottewell, Rogier C. van Dalen, David Vandyke. sigdial 2016: 270-275 [doi]

Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language ModelsXunying Liu, Xie Chen, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland. taslp, 24(8):1438-1449, 2016. [doi]

Off-topic Response Detection for Spontaneous Spoken English AssessmentAndrey Malinin, Rogier C. van Dalen, Kate Knill, Yu Wang, Mark J. F. Gales. acl 2016: [doi]

Multi-Language Neural Network Language ModelsAnton Ragni, Edgar Dakin, Xie Chen, Mark J. F. Gales, Kate M. Knill. interspeech 2016: 3042-3046 [doi]

Improved DNN-based segmentation for multi-genre broadcast audioLinlin Wang, Chao Zhang, Philip C. Woodland, Mark J. F. Gales, Panagiota Karanasou, Pierre Lanchantin, Xunying Liu, Yanmin Qian. icassp 2016: 5700-5704 [doi]

Sequence Student-Teacher Training of Deep Neural NetworksJeremy H. M. Wong, Mark J. F. Gales. interspeech 2016: 2761-2765 [doi]

Combining i-vector representation and structured neural networks for rapid adaptationChunyang Wu, Penny Karanasou, Mark J. F. Gales. icassp 2016: 5000-5004 [doi]

Stimulated Deep Neural Network for Speech RecognitionChunyang Wu, Penny Karanasou, Mark J. F. Gales, Khe Chai Sim. interspeech 2016: 400-404 [doi]

Log-Linear System Combination Using Structured Support Vector MachinesJingzhou Yang, Anton Ragni, Mark J. F. Gales, Kate M. Knill. interspeech 2016: 1898-1902 [doi]

System combination with log-linear modelsJ. Yang, C. Zhang, Anton Ragni, Mark J. F. Gales, Philip C. Woodland. icassp 2016: 5675-5679 [doi]

2015

The MGB challenge: Evaluating multi-genre broadcast media recognitionPeter Bell 0001, Mark J. F. Gales, Thomas Hain, Jonathan Kilgour, Pierre Lanchantin, Xunying Liu, Andrew McParland, Steve Renals, Oscar Saz, Mirjam Wester, Philip C. Woodland. asru 2015: 687-693 [doi]

Recurrent neural network language model adaptation for multi-genre broadcast speech recognitionX. Chen, T. Tan, Xunying Liu, Pierre Lanchantin, M. Wan, Mark J. F. Gales, Philip C. Woodland. interspeech 2015: 3511-3515 [doi]

Recurrent neural network language model training with noise contrastive estimation for speech recognitionXie Chen, Xunying Liu, Mark J. F. Gales, Philip C. Woodland. icassp 2015: 5411-5415 [doi]

Improving the training and evaluation efficiency of recurrent neural network language modelsXie Chen, Xunying Liu, Mark J. F. Gales, Philip C. Woodland. icassp 2015: 5401-5405 [doi]

Investigation of back-off based interpolation between recurrent neural network and n-gram language modelsXie Chen, Xunying Liu, Mark J. F. Gales, Philip C. Woodland. asru 2015: 181-186 [doi]

Speaker and Expression Factorization for Audiobook Data: Expressiveness and TransplantationLangzhou Chen, Norbert Braunschweiler, Mark J. F. Gales. taslp, 23(4):605-618, 2015. [doi]

Robust excitation-based features for Automatic Speech RecognitionThomas Drugman, Yannis Stylianou, Langzhou Chen, Xie Chen, Mark J. F. Gales. icassp 2015: 4664-4668 [doi]

Unicode-based graphemic systems for limited resource languagesMark J. F. Gales, Kate M. Knill, Anton Ragni. icassp 2015: 5186-5190 [doi]

I-vector estimation using informative priors for adaptation of deep neural networksPenny Karanasou, Mark J. F. Gales, Philip C. Woodland. interspeech 2015: 2872-2876 [doi]

Speaker diarisation and longitudinal linking in multi-genre broadcast dataPenny Karanasou, Mark J. F. Gales, Pierre Lanchantin, Xunying Liu, Yanmin Qian, Linlin Wang, Philip C. Woodland, Chao Zhang. asru 2015: 660-666 [doi]

Reconstructing voices within the multiple-average-voice-model frameworkPierre Lanchantin, Christophe Veaux, Mark J. F. Gales, Simon King, Junichi Yamagishi. interspeech 2015: 2232-2236 [doi]

The development of the cambridge university alignment systems for the multi-genre broadcast challengePierre Lanchantin, Mark J. F. Gales, Penny Karanasou, Xunying Liu, Yanmin Qian, Linlin Wang, Philip C. Woodland, Chao Zhang. asru 2015: 647-653 [doi]

Paraphrastic recurrent neural network language modelsXunying Liu, Xie Chen, Mark J. F. Gales, Philip C. Woodland. icassp 2015: 5406-5410 [doi]

The cambridge university 2014 BOLT conversational telephone Mandarin Chinese LVCSR system for speech translationXunying Liu, Federico Flego, Linlin Wang, C. Zhang, Mark J. F. Gales, Philip C. Woodland. interspeech 2015: 3145-3149 [doi]

Improving speech recognition and keyword search for low resource languages using web dataGideon Mendels, Erica Cooper, Victor Soto, Julia Hirschberg, Mark J. F. Gales, Kate M. Knill, Anton Ragni, Haipeng Wang. interspeech 2015: 829-833 [doi]

A language space representation for speech recognitionAnton Ragni, Mark J. F. Gales, Kate M. Knill. icassp 2015: 4634-4638 [doi]

Improving the interpretability of deep neural networks with stimulated learningShawn Tan, Khe Chai Sim, Mark J. F. Gales. asru 2015: 617-623 [doi]

Annotating large lattices with the exact word errorRogier C. van Dalen, Mark J. F. Gales. interspeech 2015: 2625-2629 [doi]

Automatically grading learners' English using a Gaussian processRogier C. van Dalen, Kate M. Knill, Mark J. F. Gales. slte 2015: 7-12 [doi]

Improving multiple-crowd-sourced transcriptions using a speech recogniserRogier C. van Dalen, Kate M. Knill, Pirros Tsiakoulis, Mark J. F. Gales. icassp 2015: 4709-4713 [doi]

Structured discriminative models using deep neural-network featuresRogier C. van Dalen, Jingzhou Yang, Haipeng Wang, Anton Ragni, Chao Zhang, Mark J. F. Gales. asru 2015: 160-166 [doi]

Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languagesHaipeng Wang, Anton Ragni, Mark J. F. Gales, Kate M. Knill, Philip C. Woodland, Chao Zhang. interspeech 2015: 3660-3664 [doi]

Cambridge university transcription systems for the multi-genre broadcast challengePhilip C. Woodland, Xunying Liu, Yanmin Qian, Chao Zhang, Mark J. F. Gales, Penny Karanasou, Pierre Lanchantin, Linlin Wang. asru 2015: 639-646 [doi]

Multi-basis adaptive neural network for rapid adaptation in speech recognitionChunyang Wu, Mark J. F. Gales. icassp 2015: 4315-4319 [doi]

Environmentally robust ASR front-end for deep neural network acoustic modelsTakuya Yoshioka, Mark J. F. Gales. csl, 31(1):65-86, 2015. [doi]

2014

Efficient GPU-based training of recurrent neural network language models using spliced sentence bunchXie Chen, Yongqiang Wang, Xunying Liu, Mark J. F. Gales, Philip C. Woodland. interspeech 2014: 641-645 [doi]

Language independent and unsupervised acoustic models for speech recognition and keyword spottingKate Knill, Mark J. F. Gales, Anton Ragni, Shakti P. Rath. interspeech 2014: 16-20 [doi]

Speech intonation for TTS: study on evaluation methodologyJavier Latorre, Kayoko Yanagisawa, Vincent Wan, BalaKrishna Kolluru, Mark J. F. Gales. interspeech 2014: 2957-2961 [doi]

Paraphrastic neural network language modelsXunying Liu, Mark J. F. Gales, Philip C. Woodland. icassp 2014: 4903-4907 [doi]

Investigation of unsupervised adaptation of DNN acoustic models with filter bank inputTakuya Yoshioka, Anton Ragni, Mark J. F. Gales. icassp 2014: 6344-6348 [doi]

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