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Titlebook: Hierarchical Neural Network Structures for Phoneme Recognition; Daniel Vasquez,Rainer Gruhn,Wolfgang Minker Book 2013 Springer Berlin Heid

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發(fā)表于 2025-3-21 18:26:40 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Hierarchical Neural Network Structures for Phoneme Recognition
編輯Daniel Vasquez,Rainer Gruhn,Wolfgang Minker
視頻videohttp://file.papertrans.cn/427/426142/426142.mp4
概述Simplifies the analysis in spoken language dialogue systems.Investigates hierarchical structures based on neural networks for automatic speech recognition.Written for academic and industrial researche
叢書名稱Signals and Communication Technology
圖書封面Titlebook: Hierarchical Neural Network Structures for Phoneme Recognition;  Daniel Vasquez,Rainer Gruhn,Wolfgang Minker Book 2013 Springer Berlin Heid
描述In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level.
出版日期Book 2013
關(guān)鍵詞Artificial Neural Network; HMM/ANN; Hybrid Hidden Markov Model; Multilayered Perceptron MLP; TIMIT datab
版次1
doihttps://doi.org/10.1007/978-3-642-34425-1
isbn_softcover978-3-642-43210-1
isbn_ebook978-3-642-34425-1Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
copyrightSpringer Berlin Heidelberg 2013
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沙發(fā)
發(fā)表于 2025-3-21 23:10:20 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:27:43 | 只看該作者
地板
發(fā)表于 2025-3-22 05:30:24 | 只看該作者
978-3-642-43210-1Springer Berlin Heidelberg 2013
5#
發(fā)表于 2025-3-22 12:36:54 | 只看該作者
Hierarchical Neural Network Structures for Phoneme Recognition978-3-642-34425-1Series ISSN 1860-4862 Series E-ISSN 1860-4870
6#
發(fā)表于 2025-3-22 13:37:49 | 只看該作者
Daniel Vasquez,Rainer Gruhn,Wolfgang MinkerSimplifies the analysis in spoken language dialogue systems.Investigates hierarchical structures based on neural networks for automatic speech recognition.Written for academic and industrial researche
7#
發(fā)表于 2025-3-22 19:14:48 | 只看該作者
Signals and Communication Technologyhttp://image.papertrans.cn/h/image/426142.jpg
8#
發(fā)表于 2025-3-22 22:51:51 | 只看該作者
Theoretical Framework for Phoneme Recognition Analysis,y exploited in e.g. ... A common feature extraction method is Linear Prediction Coding (LPC). As it was explained in Section 2.1.1, this method models the speech production based on a finite impulse response (FIR) filter. The impulse response coefficients of the filter are estimated based on the autocorrelation function of the speech signal.
9#
發(fā)表于 2025-3-23 01:58:08 | 只看該作者
Summary and Conclusions,the area of ASR. Besides being directly related to automatic speech recognition, phoneme recognition has been also applied to speaker recognition, speech detection, language identification, OOV word detection, keyword spotting, among others.
10#
發(fā)表于 2025-3-23 09:26:33 | 只看該作者
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