Search - hidden markov model word recognition

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[Speech/Voice recognition/combine] 2 DL : 0: 基于隐马尔可夫模型的孤立字识别，学术性文章，网上无法下载-Hidden Markov Model-based isolated word recognition, academic article, on-line can not download
Update : 2025-02-17 Size : 303kb Publisher : xushuoxun
[Speech/Voice recognition/combine] Cforspeech DL : 0: ：用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技术——隐马尔可夫模型（HMM）技术，以及线性预测倒谱计算和矢量量化技术. 命令（单词）的正确识别率在97 以上. 介绍了声音模块的设计方案，并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound module voice recognition systems using current mainstream technologies- Hidden Markov Model (HMM) technology, as well as the linear prediction cepstrum calculation and vector quantization technology. command (word) the correct recognition rate in more than 97 . introduced a sound module design and the realization of the sound module on the course of the specific problems encountered were discussed.
Update : 2025-02-17 Size : 196kb Publisher : 刘文
[Graph Recognize] RecognitionofOffLineHandwrittenArabicWordsUsingHi DL : 0: Hidden Markov Models (HMM) have been used with some success in recognizing printed Arabic words. In this paper, a complete scheme for totally unconstrained Arabic handwritten word recognition based on a Model discriminant HMM is presented. A complete system able to classify Arabic-Handwritten words of one hundred different writers is proposed and discussed. The system first attempts to remove
Update : 2025-02-17 Size : 51kb Publisher : ammar
[MultiLanguage] Hidden-Markov DL : 0: 基于隐马尔可夫模型的语音单字识别研究：本文针对线性模型在语音识别中的不足, 进行了隐马尔可夫模型(HMM)在语音单字识别中的研究,主要对观察输出概率求解、最佳状态序列寻找、参数估计和模型参数的选择进行了探讨.-Based on hidden Markov model speech word recognition: the lack of the linear model in speech recognition, hidden Markov model (HMM) speech word recognition, mainly on the observation of the output probability for solving the most best state sequence search, the choice of the parameter estimation and model parameters are discussed.
Update : 2025-02-17 Size : 194kb Publisher : 郭粉玉
[AI-NN-PR] HMM-isolated-word-speech-recognition DL : 0: 一种基于隐马尔科夫模型的孤立词的的语音识别实验，可以试验0到9的数字语音识别。-An isolated word speech recognition experiment based on the hidden Markov model, can test 0 to 9 digit speech recognition.
Update : 2025-02-17 Size : 592kb Publisher : 裴安山
[AI-NN-PR] NLP-speech-tagging DL : 0: 基于隐马尔可夫模型的中文分词、词性标注、命名实体识别-Based on Chinese word hidden Markov model, speech tagging, named entity recognition
Update : 2025-02-17 Size : 71kb Publisher : Orange
[Speech/Voice recognition/combine] Speech Encoding - Frequency Analysis MATLAB DL : 0: The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov model (HMM). Consider there are n states in the HMM. The particular isolated speech signal is divided into finite number of frames. Every frame of the speech signal is assumed to be generated from any one of the n states. Each state is modeled as the multivariate Gaussian density function with the specified mean vector and the covariance matrix. Let the speech segment for the particular isolated word is represented as vector S. The vector S is divided into finite number of frames (say M). The i th frame is represented as Si . Every frame is generated by any of the n states with the specified probability computed using the corresponding multivariate Gaussian density model.
Update : 2025-02-17 Size : 769kb Publisher : Khan17