搜索资源列表
ViterbiSearch
- Viterbi Search 语音识别中HMM模型用到的Viterbi Search 源代码，包括测试用的WAV文件和TCL脚本-Viterbi Search Speech Recognition HMM used in the Viterbi Sea rch source code, including testing of WAV files and TCL scr ipt
hmm-1.03.tar.gz
- 语音识别中经典的HMM算法，包括产生序列、测试和参数训练，由C语言编写。, In speech recognition classical HMM algorithm, including has the sequence, the test and the parameter training, compiles by the C language.
Create
- Speech Recognition system using HMM...includes Viterbi , Forwarding and Backtracking Algorithm
HMMforspeechrecogntion
- 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
viterbi
- 对于语音信号的Viterbi算法的简单仿真实现 在QuartusII下-Viterbi algorithm for speech signals simple simulation to achieve in the next QuartusII
lecture08_Viterbi
- CS 552/652 Speech Recognition with Hidden Markov Models Summer 2009 Oregon Health & Science University School of Science & Engineering Division of Biomedical Computer Science Center for Spoken Language Understanding John-Paul H
cdhmm
- 连续隐马尔可夫识别程序。 包含的模块，可以比较完整地进行语言识别。 主要模块： Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.m mfcc.m -speech recognize using HMM include 11 matlab fuction: Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.
hmm
- hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；mfcc.m是计算MFCC参数的程序；pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率；mixture.m是计算观察向量对于某个HMM状态的输出概率，也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合；getparam.m函数是计算前向概率、后向概率、标定系数等参数；viterbi.m是实现Viterbi算法；baum.m是实现Baum-Welch算法；inithmm.m是初始化参数；trai
HLab.tar
- A speech recognition training and decoding system. It uses segmental K-means algorithm for acoustic modeling, and synchronus Viterbi search for decoding.
voice
- 在分析语音特征提取方法基础上提出一种改进组合算法,并采用HMM 声学模型和Viterbi 算法进行模式训练和识别.-Speech feature extraction method in the analysis based on the combination of an improved algorithm, and using HMM acoustic model and the Viterbi algorithm for model training and recognition.
SpeechRecognition
- viterbi algorithm speech
HMM
- 基于应隐马尔科夫模型的词性标注实现，Viterbi算法实现 -Should be based on hidden Markov models to achieve part of speech tagging, Viterbi algorithm
pos_tag
- 用viterbi方法进行词性标注 pos_tag.py 词性标注 evaluate.py 词性标注性能评估 PD_1998_01_POS.txt ”人民日报“语料库 标准词性标注结果.txt 语料库中后10 的数库（分词+词性标注）-Using the viterbi methods for part-of-speech tagging pos_tag.py part-of-speech tagging the evaluate.py speech tagging perform
sirocco-1.4.2.tar
- 大型开源语音识别系统，非常好用，采用viterbi算法- Sirocco large vocabulary speech recognition system
voice-recognition
- 实现基于MFCC和HMM及Viterbi的语音识别系统，识别率可达到80 以上-MFCC and HMM-based speech recognition systems and Viterbi recognition rate can reach 80
viterbi
- 语音识别HMM算法中的解码功能的程序，其中是根据观测序列和已知模型去求状态序列-Speech recognition HMM algorithm decoding process, which is to seek observer status in accordance with the sequence and the known sequence of the model
Keyword-Spotting-Documentation-Speech-Processing.
- Another common KWS method is Acoustic KWS. Using this method, the engine does not attempt to transcribe the entire stream of speech. Like the LVCSR-based method, this method employs the Viterbi search.
viterbi
- 该程序主要是对viterbi语音算法进行简单的编程，具体算法可以自己看文章-The program is mainly on the Viterbi speech algorithm for simple programming, the specific algorithm can look at the article
EFR_speechdecoding
- 自适应全速率语音解码，适合离线译码了解语音发送帧结构有很好的帮助，代码中有viterbi译码，信道解交织-Adaptive full rate speech decoding, suitable for offline decoding to understand the voice transmission frame structure has a very good help, the code has Viterbi decoding, channel decoding