搜索资源列表
Speech_Adaptin_using_MLLR_and_MAP
- 说话人自适应是提高非特定人语音识别系统识别性能的有效手段，本文针对非母语说话人，结合常规的白适应技术MLLR和MAP，探索云南纳西族和傈僳族两种母语说话人的汉语普通话语音识别问题，实验结果显示有显著效果。-Speaker adaptation is a powerful means of improving the performance of speakerindependent speech recognition system．Aimed at Yunnan minority Naxi a
phonerecognization
- 这是一些从很多论文数据库中下载的有关语音识别及说话人识别方面的中文文献，很有价值，希望对读者有用！-These are a lot of papers from the database to download the speech recognition and speaker recognition aspects of Chinese literature, great value, hope useful to readers!
vqSpeakerRecognizeMatlab
- 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
Histogram-model-based-on-nonparametric-robust-spea
- 基于非参数直方图模型的鲁棒说话人识别算法-Histogram model based on nonparametric robust speaker recognition
FPGADSPBuilder
- 用c语言编写的语音特征参数的程序，该语音特征参数为mfcc参数，主要用于说话人识别-Written by c parameters of the process of speech, the speech feature parameter is mfcc parameters, mainly used for speaker recognition
Based-on-SVM-speaker-recognition
- 基于SVM的文本无关说话人识别算法研究，本文在最后用Matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。并根据对参试者进行的大量身份测试试验，总结系统的各方面性能和分析存在的问题，为进一步研究提供了方向和宝贵的经验。 -SVM-based text independent speaker recognition algorithm, the paper used in the final implementation of a Matlab program based on
SpkTools
- 说话人识别 语音识别的一部分 可以进行与文本无关的说话人识别-Speaker recognition can be a part of speech recognition and text-independent speaker recognition
TrainWorld
- 说话人识别 语音识别的一部分 可以进行与文本无关的说话人识别 此为训练语音部分-Speaker recognition can be a part of speech recognition and text-independent speaker recognition for this part of the training speech
TrainTarget
- 说话人识别 语音识别的一部分 可以进行与文本无关的说话人识别 此为训练说话人模型部分-Speaker recognition can be a part of speech recognition and text-independent speaker identification speaker model in this part of the training
model-for-speaker-verification
- 说话人识别 语音识别的相关书籍 描述了信道补偿算法-Speaker recognition speech recognition books describe the channel compensation algorithm
Speaker-Identification-by-VQ
- 基于矢量量化的说话人识别，希望有人能用的上-Speech/Voice recognition/combine
IS081045
- 描述利用MFCC系数用于说话人识别的过程，包括提取MFCC、MFCC回溯FFT过程-intersession variability in speaker recognition:a behind scene analysis
Speakerrecognitionbased-on-MFCC
- 这是一篇工学硕士论文，主要说关于说话人语音识别，，以支持向量机为分类器，分别以MFCC和IM-FCC为特征单独执行分类，将得到结果按某种方式融合，取两者之长，最后做出判决来提高说话人识别系统的性能。-Speaker recognition is a kind of technology that take the use of the information contained in the speech signal to identify who is the speaker or to
VQ
- 采用MFCC的基于矢量量化的说话人识别，没有语音库，自己建-MFCC+VQ+speaker recognition
basis-of-speech-recognition
- 语音识别的一些基础理论以及语音识别各个组成部分：预处理，参数提取，模式匹配，每个部分有多种详细的方法介绍。还包括说话人识别，语种识别，关键词识别。-basic theory of speech recognition and its component:pre-processing,extraction of parameters,matching.Each section has many method to be supplied.Besides,there are recognition
speaker-recognition
- Brno University Of Technology 大学的2008年NIST说话人识别评测系统介绍。-Brno University Of Technology s speaker recognition system for 2008 NIST evaluation
Speech-recognition
- 运行结果表明该说话人识别系统的识别能力是比较理想的，识别率为88 ，语音库3识别不成功的原因主要有两个，一方面3的录音本身噪音相对大些，导致系统很难识别，另一方面，识别系统的算法还不是很理想，导致识别准确率不是100 。- DISTEU Pairwise Euclidean distances between columns of two matrices Input: x, y: Two matrices whose each column
test1
- 基于高斯混合模型的说话人识别，可以直接运行-Based on gaussian mixture model the speaker recognition
didigtal-image
- 基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更 -image processing
34617501LPCMCC
- 基于倒谱特征的说话人识别技术 提取语音的倒谱特征进行说话人识别-based Cepstral Speaker voice recognition technology from the Cepstral for Speaker Recognition