STOCHASTIC PRONUNCIATION MODELLING AND SOFT MATCH FOR OUT-OF-VOCABULARY SPOKEN TERM DETECTION Dong Wang, Simon King, Joe Frankel, Peter Bell The Centre for Speech Technology Research, University of Edinburgh, UK ABSTRACT

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Growing bottleneck features for tandem ASR Joe Frankel, Dong Wang, Simon King Centre for Speech Technology Research, University of Edinburgh, UK ; ; Abstract

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JOURNAL 1 Speech Recognition using Linear Dynamic Models Joe Frankel, Member, IEEE and Simon King, Member, IEEE

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Stochastic Pronunciation Modelling for Spoken Term Detection Dong Wang, Simon King, Joe Frankel The Centre for Speech Technology Research, University of Edinburgh, UK , ,

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Observation Process Adaptation for Linear Dynamic Models Joe Frankel and Simon King Centre for Speech Technology Research University of Edinburgh 2 Buccleuch Place

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Factoring Gaussian Precision Matrices for Linear Dynamic Models Joe Frankel and Simon King Centre for Speech Technology Research University of Edinburgh

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Term-Dependent Confidence for Out-of-Vocabulary Term Detection Dong Wang, Simon King, Joe Frankel, Peter Bell The Centre for Speech Technology Research, University of Edinburgh, UK , .u

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Articulatory feature recognition using dynamic Bayesian networks Joe Frankel, Mirjam Wester and Simon King Centre for Speech Technology Research University of Edinburgh

Source URL: www.cstr.ed.ac.uk

Towards minimum perceptual error training for DNN-based speech synthesis Cassia Valentini-Botinhao, Zhizheng Wu, Simon King The Centre for Speech Technology Research, University of Edinburgh, United Kingdom cvbotinh@inf.

Source URL: www.cstr.ed.ac.uk

• Computational linguistics
• Signal processing
• Cepstrum
• Frequency domain analysis
• Speech synthesis
• Acoustic model
• Cepstral
• Electrical engineering
• Humancomputer interaction
• Computational science
• Speech recognition

Digitizing the Dead Sea Scrolls AUTHORS: Simon Tanner; King’s College London; London, United Kingdom. Greg Bearman; ANE Image; Pasadena, CA Abstract The Dead Sea Scrolls are objects of unrivalled importance and fragili

Source URL: www.kdcs.kcl.ac.uk