I can't seem to figure out where I'm going wrong here.. I have the following spectrogram: I'm trying to segment the spectrogram into 3 parts, essentially, I will just have 3 signals (the ones with ...
I have a 2D array/matrix (something like an image, but it's not an actual image) with values from 0 to X (in this case 180). and I have a 1D array/Vector that has the occurrence frequency of these ...
I'm looking for a way to implement a Speech Separation from a .wav file. Let's say I have a .wav signal containing the following words: "The cat flew away" Now I ...
I'm trying to implement a speaker recognition system and want to make sure I'm aware of the latest trends in speech segmentation. I've read a number of very different methods at a higher level but I'm ...
Is there any better measurement of error between two images than just taking pixel value differences? The problem I am tackling is stitching images containing "sensitive" objects, such as moving ...
I'm currently on a project of liver tumor segmentation. I segmented the liver using region growing, and I have to assess how accurate the result is. I recently learnt that there are certain metrics ...
As related to the project I am currently involved in, I have come to realize that one thing that might help is for me to 'segment' my image. To that end, I have shown a very simple example below. ...
I have done a lot of research and found out methods like adaptive thresholding , watershed etc that can be used of detecting veins in leaves . However thresholding isn't good as it introduces a lot of ...