audio to visual speech synthesis using artificial neural networks
audio to visual speech synthesis using artificial neural networks
... Voice: Audio to Visual Speech Synthesis using Artificial Neural Networks Dominic W. Massaro , Jonas Beskow, Michael M. Cohen, Christopher L. Fry, and Tony RodriguezPerceptual Science Laboratory, ... theauditory speech to these specific movements. Wedetermined the mapping between the acoustic speech and the appropriate visual speech movements by training an artificial neural network to associate ... base of auditory /visual speech, 2. A representation of both the auditory and visual speech 3. Some method to describe the relationshipbetween two representations, and4. A technique to synthesize...
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vehicle signal analysis using artificial neural networks
... September 2009 / Published: 12 October 2009 Abstract: This paper describes the procedures for development of signal analysis algorithms using artificial neural networks for Bridge Weigh-in-Motion ... sensors ISSN 1424-8220 www.mdpi.com/journal/sensors Article Vehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System Sungkon Kim 1, Jungwhee Lee 2,*, ... M S.; Lee, J.; Jo, B W.; Kim, S. Development of Bridge WIM Systems without Axle Detector Using Artificial Neural Network. In Proceedings of the Fourth International Conference on Bridge Maintenance,...
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Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
... influenced on strain rate. Consequently, it is difficult to apply in engineering practice. In this study, artificial neural networks are applied to the estimation of the proper strain rate of the ... specimen is estimated using empirical equations. And the maximum pore pressure ratio is used 30% that set by ASTM D4186. DESIGN ARTIFICIAL NEURAL NETWORK MODEL Neural networks are computer ... time more than a week to finish the ILT test. Also, It is difficult to determine the preconsolidation pressure due to the curve of stress and strain is not appeared is to definitely. Several...
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ARTIFICIAL NEURAL NETWORKS – ARCHITECTURES AND APPLICATIONS doc
... chapterhttp://dx.doi.org/10.5772/515811. IntroductionRecently, neural networks are drawing much attention as a method to realize flexible infor‐mation processing. Neural networks consider neuron groups of the brain ... technologically. Neural networks have some features, especiallyone of the important features is that the networks can learn to acquire the ability of informa‐tion processing.In the field of neural network, ... Conditions.Figure 3. Training Patterns including One -to- Many Relations (Binary Pattern). Artificial Neural Networks – Architectures and Applications10Figure 4. One -to- Many Associations for Binary Patterns...
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Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf
... Pollution 496 2. Artificial neural networks – several types for different purposes Artificial neural networks can be divided into several groups according to their topology. The tool was firstly ... http://www.intechopen.com/books/advanced-air-pollution /artificial- neural- networks- a-useful-tool-in-air-pollution-and-meteorological-modelling 25 Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological ... Conclusion Two types of artificial neural networks were shown to be useful tools for environmental modelling: the multilayer perceptron neural network MPNN and the Kohonen neural network KNN....
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a new type of structured artificial neural networks
... attrac-tors correspond to the objects in the natural ontology.The Scope Constriction Algorithm (SCA) minimizesthe energy by systematically switching the networkconnections and reveals the ontology. ... initializingservices, to its destinations, the services that use thedata. The sum of all scopes happens to be equal to thevertical profile of C, immediately suggesting the use ofprofile minimization techniques to ... algo-rithm that organizes the information categorically intoweakly-coupled classes of strongly-cohesive objects, anontology [3]. Finally, applications to very diverse fieldssuch as theoretical Physics,...
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large pattern recognition system using multi neural networks - codeproject
... ormore networks; we can also add new networks to the system to recognize new patterns without change or rebuilt themodel. All these small networks have reusable capacity to an other multi neural networks ... pattern recognition system using multi neural networks By Vietdungiitb, 31 May 2012Download drawing samples - 52 KB Download handwriting_recognition _using_ multi _neural_ networks. flv - 8.9 MBDownload ... transferred to the next network until the system can recognize it correctly. Figure 3: Convolution neural network with unknown output Figure 4: Recognition System using multi neural networks This...
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Tài liệu 46 Text-to-Speech Synthesis docx
... Preprocessing•Accentuation•WordPronunciation•In-tonational Phrasing•Segmental Durations•Intonation46.3 Speech Synthesis 46.4 The Future of T TSReferences46.1 IntroductionText -to- speech synthesis has had a long history, one ... D.,From Text to Speech, Cambridge University Press,Cambridge, 1987.[3] van Heuven, V. and Pols, L.,Analysis and Synthesis of Speech: Strategic Research towardsHigh-Quality Text -to- Speech Generation,Mouton ... J. “Text -to- Speech Synthesis Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLC46Text -to- Speech Synthesis Richard...
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Tài liệu Báo cáo khoa học: "Integration of Speech to Computer-Assisted Translation Using Finite-State Automata" pdf
... with integrated speech, twosources of information are available to recognizethe speech input: the target language speech and the given source language text. The targetlanguage speech is a human-produced ... pre-diction engine, which interactively pro-vides completions to what a human trans-lator types. The integration of human speech into a computer-assisted system isalso a challenging area and ... skilled human translators is to provide theoral translation of a given source text and then to post-edit the recognized text. In the post-editingstep, a prediction engine helps to decrease theamount...
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Báo cáo khoa học: "An HMM-Based Approach to Automatic Phrasing for Mandarin Textto-Speech Synthesis" doc
... Linguistics An HMM-Based Approach to Automatic Phrasing for Mandarin Text- to- Speech Synthesis Jing Zhu Department of Electronic Engineering Shanghai Jiao Tong University zhujing@sjtu.edu.cn ... of Electronic Engineering Shanghai Jiao Tong University lijh888@sjtu.edu.cn Abstract Automatic phrasing is essential to Mandarin text- to- speech synthesis. We select word format as target ... ingredient of human speech. They play a great role in signaling structural boundaries. Similarly, in the area of text -to- speech (TTS) synthesis, assigning breaks is very crucial to naturalness...
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