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Description: 一种语音芯片XF-S3011的51IO口模拟放音程序。-a voice chip XF - S3011 51IO the mouth of audio simulation procedures.
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Size: 25884 |
Author: 孙鹏 |
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Description: 本手册为XF－S3011嵌入式语音合成芯片的开发指南手册，包含芯片的各项特点功能说明、软硬件开发接口以及供客户参考的设计样例。
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Size: 636225 |
Author: 111 |
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Description: 一种语音芯片XF-S3011的51IO口模拟放音程序。-a voice chip XF- S3011 51IO the mouth of audio simulation procedures.
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Size: 25600 |
Author: 孙鹏 |
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Description: n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.-n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
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Size: 13312 |
Author: 徐剑 |
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Description: On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
-On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
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Size: 16384 |
Author: 徐剑 |
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Description: This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
-This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
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Size: 348160 |
Author: 晨间 |
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Description: 本手册为XF－S3011嵌入式语音合成芯片的开发指南手册，包含芯片的各项特点功能说明、软硬件开发接口以及供客户参考的设计样例。-The manual for the XF-S3011 embedded speech synthesis chip development guidebook, including the main features of the chip function, as well as the development of hardware and software interface design for customer reference sample.
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Size: 635904 |
Author: 111 |
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Description: 科大讯飞语音芯片XFS3011的开发指南，平时只能见到数据手册，只有用户或者公司内部人员才能知道开发指南-HKUST VoiceBook XFS3011 chip development guide, usually can only see the data sheet, only the users or internal staff to develop guidelines in order to know
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Size: 522240 |
Author: king |
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Description: XF-S4240中文语音合成模块开发指南-XF-S4240 English Speech Synthesis Module Development Guide
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Size: 526336 |
Author: wang |
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Description: 语音芯片编程资料XF-S3011 v1.5-Voice chip programming information XF-S3011 v1.5
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Size: 522240 |
Author: jason |
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Description: XF-S3011芯片是安徽中科大讯飞信息科技有限公司针对嵌入式应用领域而设计的一款中文语音合成单芯片产品，将完整的语音合成系统集成到单一的处理器内部，通过串口接收并合成任意文本。芯片的文本分析算法具备一定的智能性，可识别常见的数值、号码、时间、度量单位等格式的文本，可对中文姓氏中的多音字进行处理-XF-S3011 chip is anhui ZhongKeDa xunfei information technology Co., LTD. Embedded application fields and design of a Chinese speech synthesis single chip products, will complete speech synthesis system integration to a single processor internal, receiving and through a serial port any text chips synthesis text analysis algorithm have certain intelligent, and can identify common number
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Size: 3990528 |
Author: zhouxiaolin |
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Description: 介绍了语音芯片XF-s3011的功能以及使用方法以及说明，介绍了XF-s3011的通信方式-The function of voice chip XF-s3011 and the method of using XF-s3011 are introduced.
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Size: 612352 |
Author: 日日日 |
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