Review for paper "Learning Musical Instruments through Spectral and Temporal Analysis"
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Best Project? No
Top 3? No
Organization/Clarity: 9
Idea: 9
Research Contribution: 5
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Note: Since the paper wasn't done, I'll just review the content you do have and forgive the omissions, with one exception: I feel that, even given the time limitations, you should've included a Related Work section giving an analysis of the merits of other research work similar to yours. A Related Work section is essential because it demonstrates the usefulness of your work; without one, it's hard to determine how novel your work is.

The report is definitely clear, concise, and well organized. I thought it was a significant improvement over the proposal.

The idea you had was relevant to developmental robotics: the identification of different sounds is something that can be done directly from sensory stimuli that can be done without excessive human intervention or preprogramming, and it is one of a fundamental set of skills that children develop at an early age.

One aspect of your paper I liked very much were the figures. I felt that the diagrams in the beginning looked very professional and contributed very much to the explanation of the binary decision tree and k-nearest neighbors algorithms. The same goes for the "Instrument Recognition AI" diagram. The graphs of sound characteristics for the various instruments were also very well done, and it was very easy to visually discern the differences between the various instruments based on these.

What you did was very much in line with what you proposed to do (barring the omissions).

This paper is far from publishable, but if you continue working hard on it, succeed in implementing your ideas, and explain your results clearly with sufficient perspective on prior work, it has potential to become journal-quality.