Search - vector quantization speech matlab

Search - vector quantization speech matlab - List

[Speech/Voice recognition/combine] vq DL : 0: 语音识别中的矢量量化（vq）的matlab程序，希望可以帮到需要的人-Speech Recognition vector quantization (vq) Matlab procedure, the desire to help people in need
Update : 2008-10-13 Size : 2.06kb Publisher : 柳俊峰
[Speech/Voice recognition/combine] vqLBG DL : 0: Vector quantization using LBG method of center splitting
Update : 2025-02-19 Size : 1kb Publisher : 黎思
[Speech/Voice recognition/combine] vq DL : 0: 语音识别中的矢量量化（vq）的matlab程序，希望可以帮到需要的人-Speech Recognition vector quantization (vq) Matlab procedure, the desire to help people in need
Update : 2025-02-19 Size : 2kb Publisher : 柳俊峰
[matlab] VQSHUZIYY DL : 0: 很好的MATLAB开发源程序基于VQ矢量量化的语音识别程序-MATLAB to develop a very good source of vector quantization VQ-based speech recognition procedures
Update : 2025-02-19 Size : 9kb Publisher : cq
[Speech/Voice recognition/combine] test_project DL : 0: Update : 2025-02-19 Size : 2kb Publisher : Praveen
[matlab] Speech_Test DL : 0: In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal is given as the input will be verified using speech recognition technique using matlab. We have used Mel Frequency Cepstral Coefficient (MFCC) along with Vector Quantization (VQLBG) and Euclidean Distance to identify different characters. Based on the results, data was send to Parallel Printer Port of the computer & using relay different devices will be controlled.
Update : 2025-02-19 Size : 2kb Publisher : SimonKap22
[Speech/Voice recognition/combine] 1 DL : 0: 语音信号处理的课件，包含语音信号的短时分析、特征提取、矢量量化，语音编码、合成与识别-Speech Signal Processing courseware, including short-time speech signal analysis, feature extraction, vector quantization, speech coding, synthesis and recognition, etc.
Update : 2025-02-19 Size : 10.66mb Publisher : 羽
[Other] 11111 DL : 0: 语音信号数字处理是一门涉及面很广的交叉科学，这本书介绍了语音信号的数字表示，矢量量化，隐马尔科夫模型，语音合成，语音识别，语音增强，说话人识别等知识-Speech signal digital processing is a wide-ranging cross-science, this book describes a digital representation of the speech signal, vector quantization, hidden Markov models, speech synthesis, speech recognition, speech enhancement, speaker recognition of such knowledge
Update : 2025-02-19 Size : 22.44mb Publisher : 张玉
[Other] VQ_based_speaker_recognition DL : 0: 使用矢量量化的方法进行说话人识别，用matlab编写 -Vector quantization method using speech recognition, written with matlab
Update : 2025-02-19 Size : 6kb Publisher : YJ
[Speech/Voice recognition/combine] vqSpeakerRecognizeMatlab DL : 0: MATLAB环境下实现基于矢量量化的说话人识别系统-MATLAB environment to achieve vector quantization based speech recognition system
Update : 2025-02-19 Size : 690kb Publisher : lanyuna
[matlab] MELBANKM DL : 0: 语音处理矢量量化技术，用于从一帧语音中提取特征矢量相当有用-in speech signal process vector quantization technology with matlab code
Update : 2025-02-19 Size : 2kb Publisher : renfangqin
[matlab] vqlbg DL : 0: 语音信号处理矢量量化的LBG算法，又称K-mean 算法-in speech signal process vector quantization technology using LBG algorithm with matlab language
Update : 2025-02-19 Size : 1kb Publisher : renfangqin
[Speech/Voice recognition/combine] VQ-Matlab DL : 0: 基于矢量量化的孤立词语音识别系统看，性能良好，Matlab 实现！-Based on vector quantization of isolated word speech recognition system to see, good performance, Matlab to achieve!
Update : 2025-02-19 Size : 302kb Publisher : 韩用
[Other] speech-processing-matlab DL : 0: 张雪英“数字语音信号处理及matlab仿真”部分源代码，包括线性预测，矢量量化等-ZHANG Xue-Ying " digital speech signal processing and matlab simulation" part of the source code, including linear prediction and vector quantization
Update : 2025-02-19 Size : 359kb Publisher : quan
[Audio program] mfcc2delta DL : 0: In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.
Update : 2025-02-19 Size : 1kb Publisher : abdou