Search - speech recognition system using HMM

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[Speech/Voice recognition/combine] HMMmodel DL : 0: This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
Date : 2008-10-13 Size : 15.26kb User : aaaaaaa
[Other resource] Hidden_Markov_model_for_automatic_speech_recogniti DL : 0: Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
Date : 2008-10-13 Size : 22.93kb User : 张志
[matlab] 313viterbidecode DL : 0: 这个是隐markov模型中viterbi算法实现的一个具体实例程序很好-This is a hidden markov models Viterbi Algorithm in a specific example of good procedures
Date : 2025-07-04 Size : 1kb User : juliamie
[Speech/Voice recognition/combine] HMMmodel DL : 0: This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
Date : 2025-07-04 Size : 15kb User : aaaaaaa
[AI-NN-PR] Hidden_Markov_model_for_automatic_speech_recogniti DL : 1: Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
Date : 2025-07-04 Size : 23kb User :
[matlab] cdhmm DL : 0: 用Matlab开发的基于HMM的语音识别系统-Developed using Matlab-based HMM speech recognition system
Date : 2025-07-04 Size : 525kb User : 庄冕
[Speech/Voice recognition/combine] Create DL : 0: Speech Recognition system using HMM...includes Viterbi , Forwarding and Backtracking Algorithm
Date : 2025-07-04 Size : 6kb User : shekhar
[Speech/Voice recognition/combine] Speech-Recognition--HMM DL : 0: 在MATLAB 环境下利用语音工具箱Voice Box 实现基于连续概率密度隐含马尔科夫模型的汉语语音识别系统-Using Voice- Box a mandarin speech recognition system is realized based on CDHMM in MATLAB environment.
Date : 2025-07-04 Size : 206kb User : 江丰安迪
[Other] hmmrecongition DL : 0: 基于HMM的语音识别系统的MATLAB仿真，采用多数据同时训练法训练模板-Speech recognition system based on HMM of MATLAB simulation, using much data at the same time training method training template
Date : 2025-07-04 Size : 11kb User : jimmy
[Algorithm] pangkei DL : 0: 完整的基于HMM的语音识别系统，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，非常适合计算机视觉方面的研究使用。- Complete HMM-based speech recognition system, Implemented with SDRAM run nios, while saving camera data SRAM, Very suitable for the study using computer vision.
Date : 2025-07-04 Size : 8kb User : beng
[Algorithm] qiusing DL : 0: 完整的基于HMM的语音识别系统，可以广泛的应用于数据预测及数据分析,采用加权网络中节点强度和权重都是幂率分布的模型。- Complete HMM-based speech recognition system, Can be widely used in data analysis and forecast data, Using weighted model nodes in the network strength and weight are power law distribution.
Date : 2025-07-04 Size : 6kb User : 王中远
[Other] yeijiu_V0.7 DL : 0: 完整的基于HMM的语音识别系统，可以广泛的应用于数据预测及数据分析,采用加权网络中节点强度和权重都是幂率分布的模型。- Complete HMM-based speech recognition system, Can be widely used in data analysis and forecast data, Using weighted model nodes in the network strength and weight are power law distribution.
Date : 2025-07-04 Size : 7kb User : 曹娜锋
[matlab] jiefiu DL : 0: 是信号处理的基础，非常适合计算机视觉方面的研究使用,完整的基于HMM的语音识别系统。- Is the basis of the signal processing, Very suitable for the study using computer vision, Complete HMM-based speech recognition system.
Date : 2025-07-04 Size : 4kb User : snhuum
[Other] foupai_v20 DL : 0: 双向PCS控制仿真，完整的基于HMM的语音识别系统，IMC-PID是利用内模控制原理来对PID参数进行计算。- Two-way PCS control simulation, Complete HMM-based speech recognition system, The IMC- PID is using the internal model control principle for PID parameters is calculated.
Date : 2025-07-04 Size : 6kb User : 黎丹伟
[matlab] nuimun_v30 DL : 0: 利用matlab写成的窄带噪声发生，完整的基于HMM的语音识别系统，STM32制作的MP3的全部资料。- Using matlab written narrowband noise occurs, Complete HMM-based speech recognition system, STM32 all the information produced by the MP3.
Date : 2025-07-04 Size : 10kb User : 张福军
[Other] feiliu_v17 DL : 0: 完整的基于HMM的语音识别系统，利用matlab写成的窄带噪声发生，对于初学matlab的同学会有帮助。- Complete HMM-based speech recognition system, Using matlab written narrowband noise occurs, Matlab for beginner students will help.
Date : 2025-07-04 Size : 5kb User : giufengieman
[matlab] kougang DL : 0: 主要是基于mtlab的程序，完整的基于HMM的语音识别系统，利用matlab针对图像进行马氏距离计算。- Mainly based on the mtlab procedures, Complete HMM-based speech recognition system, Using matlab to calculate the Mahalanobis distance for the image.
Date : 2025-07-04 Size : 5kb User : xhcvtfir
[Other] pingmen DL : 0: 用于时频分析算法，完整的基于HMM的语音识别系统，使用高阶累积量对MPSK信号进行调制识别。- For time-frequency analysis algorithm, Complete HMM-based speech recognition system, Using high-order cumulants of MPSK signal modulation recognition.
Date : 2025-07-04 Size : 6kb User : knkpqut
[Algorithm] pienao DL : 0: 完整的基于HMM的语音识别系统，用MATLAB实现的压缩传感，这个有中文注释，看得明白。- Complete HMM-based speech recognition system, Using MATLAB compressed sensing, The Chinese have a comment, understand it.
Date : 2025-07-04 Size : 7kb User : biepengpao
[Embeded-SCM Develop] ji812 DL : 0: Correlation diagram shown in detail the time domain and frequency domain, Complete HMM-based speech recognition system, Using matlab to calculate the Mahalanobis distance for the image.
Date : 2025-07-04 Size : 59kb User : 王永兰

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