| 书目名称 | Hierarchical Neural Network Structures for Phoneme Recognition |
| 编辑 | Daniel Vasquez,Rainer Gruhn,Wolfgang Minker |
| 视频video | |
| 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 |
| 丛书名称 | Signals and Communication Technology |
| 图书封面 |  |
| 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 |
| 关键词 | Artificial Neural Network; HMM/ANN; Hybrid Hidden Markov Model; Multilayered Perceptron MLP; TIMIT datab |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-34425-1 |
| isbn_softcover | 978-3-642-43210-1 |
| isbn_ebook | 978-3-642-34425-1Series ISSN 1860-4862 Series E-ISSN 1860-4870 |
| issn_series | 1860-4862 |
| copyright | Springer Berlin Heidelberg 2013 |
发表于 2025-3-21 18:26:40
