搜索资源列表
Energynormalization
- Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Ap
EnergyNormalizationCepSpec
- Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Ap
HMMmodel
- 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. Seriou
Hidden_Markov_model_for_automatic_speech_recogniti
- 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 alg
ICTCLAS
- 计算所汉语词法分析系统ICTCLAS.分词正确率高达97.58%(973专家组评测)，未登录词识别召回率均高于90%，其中中国人名的识别召回率接近98%处理速度为31.5Kbytes/s。ICTCLAS的特色还在于：可以根据需要输出多个高概率结果，有多种输出格式，支持北大词性标注集，973专家组给出的词性标注集合。-Calculate the Chinese Lexical Analysis System ICTCLAS. Segmen
Energynormalization
- Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Ap
EnergyNormalizationCepSpec
- Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Ap
HMMmodel
- 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. Seriou
Hidden_Markov_model_for_automatic_speech_recogniti
- 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 alg
sesKirpma
- This function is remove the unvoice section from the voice. Which is end point detection by using rabiner algorithm.
rab_begin
- Code to find the speech beginning using rabiner method
rab_finish
- Code to find speech ending using rabiner method
Essential
- Code essential for rabiner method
EndPointDetector
- End point detector Implementation of "An Algorithm for Determining the Endpoints of Isolated Utterances, L. R. Rabiner and M. R.Sambur
endpoint_detection
- End point detection" I implemented an algorithm for detecting start and end point of the word sequence in speech. In this way the Rabiner method, used to perform this work
rabiner-HMM
- HMM经典资料。后面还附有语音识别相关资料。
rabiner
- 隐马尔科夫模型与语音识别的开山之作，google scholar中引用次数最多的论文-Hidden Markov model for speech recognition google scholar most cited papers
hmm-1.03
- 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.-This c
sourcecodes
- i send the matlab codes for embedded zero tree and se partioning in hierarchial trees in image compression.I also send matlab code for speech compression using rabiner algorithm amd OFDM transceiver design.
语音信号数字处理(L.R.Rabiner)
- 语音信号数字处理(L.R.Rabiner)编写的一本关于语音信号处理的书,很多的都想要的,我今天把它贡献,希望大家喜欢.(Speech signal digital processing (L.R.Rabiner) prepared a book on voice signal processing, many of them want, and I contribute it today, I hope you like it)