Description: 《Neural Networks for Text-to-Speech Phoneme Recognition》This paper presents two different artificial neural network approaches for phoneme recognition for text-to-speech applications: Staged Backpropagation Neural Networks and Self-Organizing Maps.- Neural Networks for Text-to-Speech Phoneme Recognition This paper presents two different artificial neural network approaches for phoneme recognition for text-to-speech applications: Staged Backpropagation Neural Networks and Self-Organizing Maps. Platform: |
Size: 722944 |
Author:付诗 |
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Description: 《Neural Networks for vice recognition》神经网络用于语音识别的英文资料- Neural Networks for vice recognition neural networks for speech recognition in English information Platform: |
Size: 145408 |
Author:付诗 |
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Description: 本书全面系统介绍了小波分析的基本理论和最新研究成果，重点介绍小波分析的应用成果，并通过软件实现来检验应用效果。全书分为三篇：第一篇是小波理论，包含8章内容，小波分析的发展历史及文献综述、准备知识、多分辨分析与共轭滤波器、连续小波变换、最佳小波基的构造及算法、二维母小波的构造、框架与样条小波理论、时间----频率分析；第二篇是小波应用，包含12章内容，详细介绍了小波分析在图象压缩、流体力学、工业CT、故障诊断、语音分割、数学物理、地球物理勘探、医学细胞识别、线性系统、神经网络等方面的应用；第三篇是小波软件，将第一篇和第二篇的重要算法用C语言实现，且全部在微机上调试通过，读者可直接应用或稍加修改即见成效。-This book systematically introduces the basic theory of wavelet analysis and the latest research results, focusing on the application of wavelet analysis results and applications through the software to test results. The book is divided into three: first is the wavelet theory, contains 8 chapters, the history of development of wavelet analysis and literature review, preparation of knowledge, multi-resolution analysis of the conjugate filter, continuous wavelet transform, the best wavelet algorithm for the construction and two-dimensional structure of the mother wavelet, frame and spline wavelet theory, time frequency analysis---- second is the wavelet applications, contains 12 chapters, detailing the wavelet analysis in image compression, fluid mechanics, industrial CT , fault diagnosis, speech segmentation, mathematical physics, geophysical exploration, medical cell recognition, linear systems, neural networks and other applications third is the wavelet software, the importance of t Platform: |
Size: 13684736 |
Author:辉 |
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Description: speech recognision is used to develop automatic speech regonision system and also to normalise it and then map it to a particular user voice. Platform: |
Size: 40960 |
Author:anusha123 |
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Description: this Program utilized a new method
for generation codebook in Hidden Markov
Models (HMM). Hybrid HMM and neural
networks have been applied to improve
recognition in speech processing. -this Program utilized a new method
for generation codebook in Hidden Markov
Models (HMM). Hybrid HMM and neural
networks have been applied to improve
recognition in speech processing. Platform: |
Size: 887808 |
Author:abbas |
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Description: 从语音中提取出的LPC参数，并用人工神经网络进行语音识别-Extracted from the voice of the LPC parameters and artificial neural networks for speech recognition Platform: |
Size: 1024 |
Author:jinmaodao |
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Description: 运用神经网络识别语音，采用了MFCC的系数，来识别语音的研究生论文-Speech recognition using neural networks, using MFCC coefficients to identify the voice of the graduate thesis Platform: |
Size: 115712 |
Author:awdawd |
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Description: This good paper on speech recognition using neural networks with WEKA tool-This is good paper on speech recognition using neural networks with WEKA tool Platform: |
Size: 55296 |
Author:siva |
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Description: 工神经网络（Artificial Neural Network）又称连接机模型，是在现代神经学、生物学、心理学等学科研究的基础上产生的，它反映了生物神经系统处理外界事物的基本过程，是在模拟人脑神经组织的基础上发展起来的计算系统，是由大量处理单元通过广泛互联而构成的网络体系，它具有生物神经系统的基本特征，在一定程度上反映了人脑功能的若干反映，是对生物系统的某种模拟，具有大规模并行、分布式处理、自组织、自学习等优点，被广泛应用于语音分析、图像识别、数字水印、计算机视觉等很多领域，取得了许多突出的成果。最近由于人工神经网络的快速发展，它已经成为模式识别的强有力的工具。神经网络的运用展开了新的领域，解决其它模式识别不能解决的问题，其分类功能特别适合于模式识别与分类的应用。多层前向BP网络是目前应用最多的一种神经网络形式-Artificial neural network (Artificial Neural Network) connection, also known as machine model, is based on interdisciplinary research in modern neurology, biology, psychology, etc. produced on, it reflects the fundamental processes of biological neural processing of external things, is in the simulation developed on the basis of human brain tissue computing system is constituted by a large number of processing units interconnected through an extensive network system, it has the basic characteristics of biological neural systems, to a certain extent reflects the number of reflecting the human brain function is simulation of certain biological systems, with massively parallel, distributed processing, self-organizing, self-learning, etc., are widely used in many areas of speech analysis, image recognition, digital watermarking, computer vision, and achieved many outstanding achievements . Recently due to the rapid development of artificial neural networks, it has become a powerful tool fo Platform: |
Size: 100352 |
Author:沈阳阳 |
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Description: Deep neural networks for acoustic modeling in speech recognition The shared views of four research groups Platform: |
Size: 533504 |
Author:xiaowang |
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Description: 卷积神经网络是人工神经网络的一种，已成为当前语音分析和图像识别领域的研究热点。它的权值共享网络结构使之更类似于生物神经网络，降低了网络模型的复杂度，减少了权值的数量。自己可已加入数据，和修改梯度。-Convolutional neural network is an artificial neural network, it has become a research hotspot speech analysis and image recognition field. It weights shared network structure to make it more similar to biological neural networks, reduce the complexity of the network model, reducing the number of weights. Own data may have been added, and modify gradients. Platform: |
Size: 14723072 |
Author:yaxon |
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Search - Speech Recognition Neural Networks