{"product_id":"9780792393962","title":"The Springer International Series in Engineering and Computer Science: A Hybrid Approach","description":"\u003ch1\u003eThe Springer International Series in Engineering and Computer Science: A Hybrid Approach\u003c\/h1\u003e \u003ch2\u003eBourlard, Hervé A.; Morgan, Nelson\u003c\/h2\u003e \u003cp\u003e\u003cem\u003eConnectionist Speech Recognition: A Hybrid Approach\u003c\/em\u003e  describes the theory and implementation of a method to incorporate  neural network approaches into state of the art continuous speech  recognition systems based on hidden Markov models (HMMs) to improve  their performance. In this framework, neural networks (and in  particular, multilayer perceptrons or MLPs) have been restricted to  well-defined subtasks of the whole system, i.e. HMM emission  probability estimation and feature extraction. \u003cbr\u003e  The book describes a successful five-year international collaboration  between the authors. The lessons learned form a case study that  demonstrates how hybrid systems can be developed to combine neural  networks with more traditional statistical approaches. The book  illustrates both the advantages and limitations of neural networks in  the framework of a statistical systems. \u003cbr\u003e  Using standard databases and comparison with some conventional  approaches, it is shown that MLP probability estimation can improve  recognition performance. Other approaches are discussed, though there  is no such unequivocal experimental result for these methods. \u003cbr\u003e  \u003cem\u003eConnectionist Speech Recognition\u003c\/em\u003e is of use to anyone intending  to use neural networks for speech recognition or within the framework  provided by an existing successful statistical approach. This includes  research and development groups working in the field of speech  recognition, both with standard and neural network approaches, as well  as other pattern recognition and\/or neural network researchers. The  book is also suitable as a text for advanced courses on neural  networks or speech processing. \u003cbr\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1993-10-31\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780792393962\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4615-3210-1\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 313\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":45578391912588,"sku":"9780792393962","price":197.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780792393962.jpg?v=1775009503","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780792393962","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}