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The paper says that audio spectrograms are related to the length of air column,but the code chooses to train the correlation between audio spectrograms and the increased weight of water during each 4s audio clip. If we use the trained model and there is already some water in the bottle, we can not predict the height of water after pouring water.
The text was updated successfully, but these errors were encountered:
The paper says that audio spectrograms are related to the length of air column,but the code chooses to train the correlation between audio spectrograms and the increased weight of water during each 4s audio clip. If we use the trained model and there is already some water in the bottle, we can not predict the height of water after pouring water.
The text was updated successfully, but these errors were encountered: