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Titlebook: Connectionist Speech Recognition; A Hybrid Approach Hervé A. Bourlard,Nelson Morgan Book 1994 Springer Science+Business Media New York 1994

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發(fā)表于 2025-3-21 18:02:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Connectionist Speech Recognition
副標(biāo)題A Hybrid Approach
編輯Hervé A. Bourlard,Nelson Morgan
視頻videohttp://file.papertrans.cn/236/235622/235622.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Connectionist Speech Recognition; A Hybrid Approach Hervé A. Bourlard,Nelson Morgan Book 1994 Springer Science+Business Media New York 1994
描述.Connectionist Speech Recognition: A Hybrid Approach.describes the theory and implementation of a method to incorporateneural network approaches into state of the art continuous speechrecognition systems based on hidden Markov models (HMMs) to improvetheir performance. In this framework, neural networks (and inparticular, multilayer perceptrons or MLPs) have been restricted towell-defined subtasks of the whole system, i.e. HMM emissionprobability estimation and feature extraction. .The book describes a successful five-year international collaborationbetween the authors. The lessons learned form a case study thatdemonstrates how hybrid systems can be developed to combine neuralnetworks with more traditional statistical approaches. The bookillustrates both the advantages and limitations of neural networks inthe framework of a statistical systems. .Using standard databases and comparison with some conventionalapproaches, it is shown that MLP probability estimation can improverecognition performance. Other approaches are discussed, though thereis no such unequivocal experimental result for these methods. ..Connectionist Speech Recognition. is of use to anyone intendingto use neural net
出版日期Book 1994
關(guān)鍵詞Hardware; Markov model; Software; Standard; artificial intelligence; classification; development; hidden ma
版次1
doihttps://doi.org/10.1007/978-1-4615-3210-1
isbn_softcover978-1-4613-6409-2
isbn_ebook978-1-4615-3210-1Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1994
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Speech Recognition Using ANNst that will be required. Even if one assumes infinite computational power, an infinite storage and corresponding memory bandwidth, and an infinite amount of training data, it is still not certain that one could solve the ASR problem in a satisfactory way. It has also become clear that the use of hig
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0893-3405 ed, though thereis no such unequivocal experimental result for these methods. ..Connectionist Speech Recognition. is of use to anyone intendingto use neural net978-1-4613-6409-2978-1-4615-3210-1Series ISSN 0893-3405
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Analytical Theories and Stochastic Models,t that will be required. Even if one assumes infinite computational power, an infinite storage and corresponding memory bandwidth, and an infinite amount of training data, it is still not certain that one could solve the ASR problem in a satisfactory way. It has also become clear that the use of hig
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Examples of Contemporary CFD Simulations,uire nasty amounts of data for training. In short, the design of massively parallel systems is limited by the number of parameters that can be learned with available training data. It is likely that the only way truly massive systems can be built is with the help of prior information, e.g., connecti
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