搜索资源列表
HMM
- hidden markove modeling for text dependent speaker recognition
speaker-seg
- 利用能量实现静音-语音的切分，并自动与人工标注做对比-The use of energy for quiet- voice segmentation and automatically compared with the manual tagging
Speaker_Recognition_Patent
- Speaker Recognition Patent
6DE638F6d01
- speaker identification tutorial
SPEAKER
- 该程序是用VHDL语言实现的扬声器程序，可以通过不同的按键控制发出不同频率的声音。-The program is the realization of VHDL language of the speaker process, different keys can be issued to control the voices of different frequencies.
dtw
- 利用DTW算法进行说话人识别,语音可以自己替换-DTW algorithm using Speaker Recognition
recogTest
- 说话人识别中,最后带测语音匹配阶段.利用DTW算法实现-Speaker recognition, the last swath of voice matching stage. The use of DTW algorithm
speakerrecg
- this is a speaker identification code based on the vocal model of a speaker-this is a speaker identification code based on the vocal model of a speaker...
wavelet-speaker-recognition
- 这是基于小波分析的matlab程序，主要用于图像增强处理，希望对大家有帮助。-This is based on wavelet analysis matlab the procedure, mainly uses in image intensification processing, hoped that has the help to everybody
hmm
- hmm语音识别程序，能根据参数，训练模型和计算出模型距离，对于学习和编写有关隐马尔科夫语音识别程序很有帮助-hmm speaker recognition program，use it you can directly write an hmm program easly.
speakercode1
- Speaker Identification using MFCC feature and VQ training, very clear MATLAB code
Y1303765
- 噪声环境下的说话人识别技术研究，论文。供研究语音识别的人员参考，学习。-Noise environments Speaker Recognition Technology, Thesis. Research on speech recognition for staff members to learn.
project_code
- The main objective behind this project is using speaker recognition for security purposes. By security we mean identification of the speaker and thus granting permission to access details of very high confidentiality
ImprovedDTWAlgorithmInRealtimeSpeaker
- 识别正确率和抗噪性能是语音识别的研究重点，而识别响应速度也是决定系统实用化的关键 文章改进了传统的动态时间弯折算 法结构，将其应用于实时说话人辨识系统中，极大地提高了系统运行速度，随着待识别语音数目的增多，该算法优势更加明显 实验表明， 在不影响系统识别率的情况下，该方法使系统的运行速度平均提高了1.5 倍-Identify the correct rate and the anti-noise performance is the focus of speech recognition
GMM
- :高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能，得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions
mfccandvc
- 文章介绍的说话人识别系统，采用能够反映人对语音的感知特性的9(:频率倒谱系数（9(: <+(=>(2/?8(’0+): 81(..-/-(20@，9<88）作为特征参数，同时考虑到特征参数各维分量对于不同说话人的区分程度，采用加权的办法进行矢 量量化。-This paper introduces the speaker recognition system used to reflect the people s perception of voice characte
melmfcc
- 从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -From the speaker s voice signal to extract the speaker s personality traits is the key to Voiceprint identification. Mainly introduces the speech signal feature extraction method in Mel cepstral
AutomaticSpeechandSpeakerRecognition
- autoamtic speech and speaker recognition-autoamtic speech and speaker recognition
Speaker
- C#使用dll实现播放声音文件的功能 可以模仿wav文件-C# using the dll functions for playing sound files wav files can be imitated
v4-2-15
- Improved Closed Set Text-Independent Speaker Identification by combining MFCC with Evidence from Flipped Filter Banks