regarding dataset

[abhishekkritarth]

Hi @GauravWaghmare,

I have gone through your code.I didn't find the data which is required to run this code.
Can you please send me the links of Data-set or at-least please specify the format of sample Data-set applicable for this code.

Thanks and Regards

[GauravWaghmare]

Unfortunately, we don't have the dataset with us.
The structure of the training data is

TrainRoot
| _ User1
- 1.wav
- 2.wav
| _ User2
- 1.wav
- 2.wav

It can be any number of wav files in a directory, and any number of users. You can configure that in the code.

[abhishekkritarth]

while running the code by giving sample .wav files, I am getting the following error. Can you please give me any suggestion to resolve this,

Speaker No. = 1
/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/data/1/
('fname :', '/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/data/1/a0053.wav')
512.0
single column
Traceback (most recent call last):
File "/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/runMode_1.py", line 216, in
tot_positives = t.test(testdirec)
File "/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/runMode_1.py", line 151, in test
pca = self.train()
File "/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/runMode_1.py", line 123, in train
train_data = self.featuresObj.load_data()
File "/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/runMode_1.py", line 80, in load_data
X, Y = self.getTrainingMatrix()
File "/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/runMode_1.py", line 41, in getTrainingMatrix
featuresT = self.getFeaturesFromWave(fname)
File "/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/runMode_1.py", line 68, in getFeaturesFromWave
segmentLimits = rs.silenceRemoval(signal, fs, self.frame_size, self.frame_shift)
File "/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/Removesilence.py", line 159, in silenceRemoval
SVM = trainSVM(featuresNormSS, 1.0) # train the respective SVM probabilistic model (ONSET vs SILENCE)
File "/home/mcis-lap-23/PycharmProjects/Text2Speech/Speaker-Identification-master/Removesilence.py", line 70, in trainSVM
svmm = mlpy.LibSvm(svm_type='c_svc', kernel_type='linear', eps=0.0000001, C=Cparam, probability=True)
AttributeError: 'module' object has no attribute 'LibSvm'

[dalmam11]

same error with abhishekkritarth

[joony0123]

I had that one too but I was able to fix it by downloading mlpy 3.4 version using setup.py after downloading from SourceForge on Linux. For some reason pip install mlpy is not compatible with the code's mlpy

[Aurora11111]

@GauravWaghmare how to set the epoch when I trianing about 300 speaker,and how much speech per person need?