How to get Matrix of feature vector from quantized spectogram?

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speech

vector

Matrix

Hi..

I was doing a research related to speech recognition. So far I already able to convert a sample waveform (.wav format) to a feature vector by using MFCC which generate .mfc file. I also able to read the .mfc file but I dont know how to related it to the spectogram. Actually, I'm not sure whether this is possible or not, but because of I read 1 book "The Voice in the Machine", it shows somehow it is possible to turn the feature vector value into some kind of matrix table that represent the spectogram of the speech sample. Below is the example of the figure (I cannot provide the real image because it says it is copyrighted image so I create the example based on that figure):

2.0|2.3|2.1|2.4|4.5|7.3|7.6|7.4|5.6|4.1|1.1|1.3|0.3|0.5|0.1|0.3|0.4|
2.2|2.0|2.2|2.6|3.8|7.2|7.6|7.1|6.2|4.5|1.4|1.5|0.1|0.5|0.8|0.2|0.1|
2.5|2.1|2.6|7.4|6.7|7.4|3.1|2.2|3.4|3.3|2.5|3.0|0.1|0.2|0.5|0.3|0.7|
2.1|2.0|2.4|2.7|5.9|6.3|5.2|5.7|5.9|3.3|3.1|3.7|1.3|0.4|0.9|0.4|0.2|
2.0|2.1|2.1|2.4|6.3|7.4|6.3|6.8|6.5|5.8|5.5|5.4|1.1|0.3|0.3|0.5|0.7|
2.4|2.5|2.2|6.7|6.4|7.1|9.7|9.4|8.5|7.7|6.3|2.2|1.1|0.4|0.5|0.6|0.3|
9.6|8.3|9.2|9.4|9.2|9.8|9.5|9.8|9.7|8.1|6.8|2.3|1.9|0.1|0.4|0.4|0.2|
9.5|8.7|8.6|8.7|9.8|8.5|8.3|8.2|7.5|8.2|8.8|7.4|6.9|7.7|4.3|3.7|2.5|

It is possible to generate this kind of matrix that represent the spectogram? Is there any tools, software can be used? The bold is actually represent the spectogram intensity level.
I really hope someone can help me. Thank you