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365.212/3/4/5/62/63/86/87/99/335/336, UE Hands-on AI I, Rainer Dangl / Sohvi Iiri Maria Luukkonen / Mohammed Abbass / Johannes Schimunek, 2025W

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Analyze the 2D and 3D embedding visualizations.

How many clusters do you observe in each view? Are the clusters the same in 2D and 3D? Do they make semantic sense? Identify any outliers (words that are surprisingly close to or far apart from each other.

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Upload the beethoven5_piano_10s.wav file and analyze the spectrogram. Use the interactive (plotly) visualization and set the maximum frequency to 10kHz.

How many clearly separated phases (blocks of sound) do you see? Are there repetitions? Clear gaps of near-silence?

Most of the energy appears concentrated in which frequency range?

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Generate a 2-second audio signal at a 20 kHz sampling rate composed of three sinusoids at 261.63 Hz, 329.63 Hz, and 392.00 Hz (a C-major chord: C4–E4–G4).

Visualize the signal in the time and frequency domains. Choose a meaningful maximum frequency for the spectrum. Export and upload both plots.

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Try to find good color threshold values to segment the image so the brown horse is separated from the background and the other horses. Note: The result does not need to be precise. Upload the segmentation images and report which values you used.

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Upload the horses.jpg image. What dimension does it have? What do these dimensions correspond to?

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