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I Realize that my first question the numbers in the CMU dict are the stress on the syllable.
Still unsure about the other two pictures.Hi Danielle, I appreciate a lot your answer. I will read it on the weekend 🙂 Probably if I have some doubts or comments for debating I will write here again. I found it an interesting topic to discuss.
Thanks again!I know that probably is out of scope of this course, but thinking in dissertation or in the aim of having a deeper understanding when we read some paper I think it would be way useful to work in matrix transformations and understand it properly (how matrix rotation works, how to translate data etc…) and concepts as eigenvectors, eigenvalues, eigendecompositions (thinking about PCA, jFA, i-vectors and so on).
Maybe if this is too out of scope it can be interesting to have the mathematical tools to understand Expectation Maximization in depth. For that aim, I think that for a student without math background can be interesting to see how derivatives works and how to relate them in an optimization problem, see some optimization problem for a convex function or something like that and relate them with the maximum likelihood problem for speech. Is this proper for the course? 🙂
In page 292 Figure 8.6 I don’t understand what information is the number providing (CMU pronouncing Dict) (See picture number 1 attached)
Later there is an example of UNISYN dictionary. What does the symbol mean? what info do they provide? (*, .> , ~, etc). (See picture number 2 attached)
Finally, on page 293, equation 8.11 shows a rule from Allen et al. (1987) … I have no idea how to read that expression. (Picture number 3)
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You must be logged in to view attached files.by the way is not something urgent at all… just curious why we can not use github in the ppls computers
Nop, basically to work at home after doing some work in the lab. For instance, Pratt and wavesurfer can be installed easily, so that analysis can be done at home instead on the lab…. and have a repository make it easier (instead of sending new data by email each time you go to the lab)
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