M.A. Jack - Concepedia

Author

M.A. Jack

University of Edinburgh ORCID

Also Known As

M A Jack, M JACK, M. A. JACK, M. A. Jack, M. Jack, M.A. Jack, MA JACK, Marcus Jack, Mark Jack

Publications

Citations

H-Index

Concepts

All Affiliations

University of Edinburgh Interface (United Kingdom)Universidade Estadual de Campinas (UNICAMP)

About

M.A. Jack is an author at University of Edinburgh specializing in engineering, signal processing, and speech communication.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	18	710
2	Health Sciences	8	8	145
3	Arts	2	2	105
4	Language Studies	2	2	35
5	Education	1	1	11

M.A. Jack

Publications

863

Citations

H-Index

Page 1

	Year	Citations
Semi-continuous hidden Markov models for speech signals Xuedong Huang, M.A. Jack Computer Speech & Language EngineeringHidden Markov ModelSpeech SignalsRobust Speech RecognitionSpeech Processing	1989	197
The theory, design, and applications of surface acoustic wave Fourier-transform processors M.A. Jack, P.M. Grant, John H. Collins Proceedings of the IEEE AeroacousticsEngineeringSaw Fourier-transform ProcessorsAcoustic SensorOcean Acoustics	1980	156
Evaluating humanoid synthetic agents in e-retail applications Helen McBreen, M.A. Jack IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans Home Furnishings ServiceEngineeringHuman-machine InteractionCommunicationEmbodied Agent	2001	85
A usability comparison of three alternative message formats for an SMS banking service Gareth Peevers, Gary Douglas, M.A. Jack International Journal of Human-Computer Studies Text FeaturesMobile MarketingSms Banking ServiceAlternative Message FormatsUser Experience	2007	57
Application of parallel genetic algorithm and propertyofmultiple global optima to VQ codevector index assignmentfor noisy channels Jeng‐Shyang Pan, Fergus McInnes, M.A. Jack Electronics Letters	1996	49
Fast clustering algorithms for vector quantization Jeng‐Shyang Pan, Fergus McInnes, M.A. Jack Pattern Recognition Fast Clustering AlgorithmsImage AnalysisEngineeringData MiningPattern Recognition	1996	33
Improving performance of spectral subtraction in speech recognition using a model for additive noise Néstor Becerra Yoma, Fergus McInnes, M.A. Jack IEEE Transactions on Speech and Audio Processing EngineeringSpeech EnhancementSpeech RecognitionPattern RecognitionWeighting Procedure	1998	30
Unified techniques for vector quantization and hidden Markov modeling using semi-continuous models Xumin Huang, M.A. Jack International Conference on Acoustics, Speech, and Signal Processing Continuous-mixture HmmVector QuantizationEngineeringMachine LearningSemicontinuous Hmm	2003	27
Weighted Viterbi algorithm and state duration modelling for speech recognition in noise Néstor Becerra Yoma, Fergus McInnes, M.A. Jack EngineeringSpeech EnhancementSpeech RecognitionPattern RecognitionPhonetics	2002	24
System-initiated digressive proposals in automated human–computer telephone dialogues: the use of contrasting politeness strategies Jenny G. M. Wilkie, M.A. Jack, Peter Littlewood International Journal of Human-Computer Studies Politeness StrategiesSpoken Dialog SystemCommunicationPoliteness TheorySystem-initiated Digressive Proposals	2004	20

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