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[Speech/Voice recognition/combine] KLFDA DL : 0: Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction
Date : 2008-10-13 Size : 1.5kb User : wfs
[Speech/Voice recognition/combine] KLFDA DL : 0: Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction
Date : 2026-01-10 Size : 1kb User : wfs
[Speech/Voice recognition/combine] KPCA33 DL : 0: 用高斯核函数对语音信号的数据进行压缩处理-With Gaussian kernel function of the voice signal data compression
Date : 2026-01-10 Size : 2kb User : 刘素京
[Speech/Voice recognition/combine] kpca DL : 0: 核主成分分析法,用matlab实现,极为精彩.不可错过-Kernel Principal Component Analysis method, using matlab realize, is extremely exciting. Not to be missed
Date : 2026-01-10 Size : 1kb User : yyb_whu
[Speech/Voice recognition/combine] VioceRecognition DL : 0: 使用科大讯飞的语音识别和语音合成引擎作为基础，开发的适合SP的一套语音识别应用程序，可通过简单配置应用于现有的IVR业务中。主要文件简单说明：asr.c 系统初始化，入口点asrch.c 系统核心处理单元DynGra.c 动态语法生成tts.c 语音合成eventq.c 事件队列asrtimer.c 计时器iblock.c 内存管理.-The use of Science and Technology Institute of China inquiry flying speech recognition and speech synthesis engine as the basis for SP development of a set of speech recognition applications, can be configured through a simple application of the existing IVR business. Brief description of key documents: asr.c system initialization, entry point asrch.c system kernel processing unit DynGra.c dynamic grammar generation tts.c speech synthesis eventq.c event queue asrtimer.c timer iblock.c memory management.
Date : 2026-01-10 Size : 194kb User : 至诚
[Speech/Voice recognition/combine] kernel-linear-principal-componenet DL : 0: this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models
Date : 2026-01-10 Size : 6.9mb User : ghazal