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README.md

@@ -25,7 +25,7 @@ This dataset is associated with the paper "The Sound of Water: Inferring Physica
   <img src="./assets/pitch_on_spectrogram-compressed.gif" alt="Teaser" width="100%">
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-*Our key observations*: As water is poured, the fundamental frequency that we hear changes predictably over time as a function of physical properties (e.g., container dimensions).
+*Key insight*: As water is poured, the fundamental frequency that we hear changes predictably over time as a function of physical properties (e.g., container dimensions).
 
 **TL;DR**: We present a method to infer physical properties of liquids from *just* the sound of pouring. We show in theory how *pitch* can be used to derive various physical properties such as container height, flow rate, etc. Then, we train a pitch detection network (`wav2vec2`) using simulated and real data. The resulting model can predict the physical properties of pouring liquids with high accuracy. The latent representations learned also encode information about liquid mass and container shape.