搜索资源列表
training_gmm
- 训练高斯混合模型的程序,尽管此类代码较多,但本程序经过笔者改写优化后,很大程度上避免了普通方法中局部最优的问题。-Gaussian mixture model training procedures, although the code more, but the procedure after the author rewrite optimization, largely avoiding the ordinary method of optimal local issues.
MusicSegmentation_F02
- 音频流提取 音频特征提取 音频分类 可用于说话人模型训练,静音,音乐和背景音的分类-Audio Streaming Audio extraction feature extraction can be used for classification of Audio speaker model training, quiet, Music and background noise classification
speaker
- 数字的语音识别matlab程序 训练及识别数据太大,少量上传一点,大家可以用COOLEDIT等软件仿照自己制作.(*.wav文件采样率8000,单声道,采样精度16位,16bit Motorola PCM,*.lab文件存的是语音的起止点和语音内容). -Digit speech recognition matlab program too much training and recognition data, a small amount of upload that you can us
workshop_audio
- TI DM6446 workshop 培训资料,音频部分。-TI DM6446 workshop training materials, audio portion.
noise_filter
- its a training for students to add a noise in any audio and then filter that specific frequency.
mfcc2delta
- 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 v
HRTR_paper4
- Eliciting adaptation to non-individual HRTF spectral cues with multi-modal training
voice_activity_detection_full
- 本文提出了一种基于非负矩阵分解的方法来执行语音活动检测,其不需要来自用户的训练数据,并且对于中的变化是鲁棒的噪声环境。- This paper has presented a method based on non-negative matrix factorization for performing voice activity detection that requires no training data the user and is robust to changes in
gmmtrain_EM
- GMM UBM TRAINING CODE