2013-09-30 04:51:30 -0600 | received badge | ● Student (source) |
2013-05-23 09:12:44 -0600 | commented answer | Various image features from a spectrogram is there any example/tutorial for the second answer? |
2013-05-23 08:58:55 -0600 | commented question | Various image features from a spectrogram I imagined some sort of parametric line |
2013-05-23 05:16:31 -0600 | asked a question | Various image features from a spectrogram Hi, I am trying to see if I can approach the speech recognition (especially phoneme segmentation) problem using computer vision techniques on the spectrogram. I have some open questions, and I also invite everybody who is interested to get in touch with me for a possible collaboration. A spectrogram looks like this. The X axis represents time, the Y axis is the spectrum of the underlying signal. I would like to extract some features using a pure image processing approach. At first, the parameters of the feature extraction like the thresholds that are dependent on the SNR will be set by hand through sliders in a prototype GUI, then I will look for a method to extract also these parameters out of the context. So, the questions, please keep in mind that I am a complete beginner in image processing:
I don't need a whole recipe, but it would be nice to have suggestion on where to look in order to avoid a complex postprocessing of the wrong algorithms' output. |