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[Speech/Voice recognition/combine] lexcion DL : 0: 用于语音识别的汉语树形词典，完成了6万词汇的建树操作及相关子节点等的查询处理，主要用于指导语音搜索整个建立时间大概为3分钟-for speech recognition dictionary of Chinese tree, completed 60,000 contribution to the vocabulary and related operations, such as sub-nodes of query processing, Pronunciation guide for the main search the entire building for about three hours minutes
Date : 2008-10-13 Size : 323.43kb User : 王峰
[Speech/Voice recognition/combine] BikCluster DL : 0: 二叉树的聚类算法．．．语音识别方面的算法-binary tree algorithm for clustering. . . The speech recognition algorithm
Date : 2008-10-13 Size : 2.91kb User : ddl
[Speech/Voice recognition/combine] lexcion DL : 0: 用于语音识别的汉语树形词典，完成了6万词汇的建树操作及相关子节点等的查询处理，主要用于指导语音搜索整个建立时间大概为3分钟-for speech recognition dictionary of Chinese tree, completed 60,000 contribution to the vocabulary and related operations, such as sub-nodes of query processing, Pronunciation guide for the main search the entire building for about three hours minutes
Date : 2025-12-20 Size : 323kb User : 王峰
[Speech/Voice recognition/combine] BikCluster DL : 0: 二叉树的聚类算法．．．语音识别方面的算法-binary tree algorithm for clustering. . . The speech recognition algorithm
Date : 2025-12-20 Size : 3kb User : ddl
[Speech/Voice recognition/combine] julius-4.3.1.tar DL : 0: Julius 是一种高性能，两通大词汇量连续语音识别（LVCSR）语音相关的研究和开发的解码器软件。基于字的N-gram和上下文相关的HMM模型，它可以进行几乎实时实时解码目前大多数电脑在60K字听写任务。完全纳入，如树的N-gram词汇，保，跨词的上下文依赖处理，包围梁搜索，高斯修剪，高斯的选择，除了搜索效率等各大搜索技术，它也是模块化小心从模型结构独立，如共享状态triphones的和并列混合模型与任意数量的混合物，州或手机，支持各种HMM的类型。采用标准格式，以配合HTK的，债务工具中央结算系统-CAM可持续土地管理工具包，等其他诸如免费建模工具包- Julius is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. Based on word N-gram and context-dependent HMM, it can perform almost real-time decoding on most current PCs in 60k word dictation task. Major search techniques are fully incorporated such as tree lexicon, N-gram factoring, cross-word context dependency handling, enveloped beam search, Gaussian pruning, Gaussian selection, etc. Besides search efficiency, it is also modularized carefully to be independent from model structures, and various HMM types are supported such as shared-state triphones and tied-mixture models, with any number of mixtures, states, or phones. Standard formats are adopted to cope with other free modeling toolkit such as HTK, CMU-Cam SLM toolkit, etc.
Date : 2025-12-20 Size : 1.68mb User : 张文原