Activation maximization applied to a speech command DNN, followed by WaveNet synthesis, produces class-specific utterances that human evaluators can interpret, supporting its use for model debugging.
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks,
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Towards Debugging Deep Neural Networks by Generating Speech Utterances
Activation maximization applied to a speech command DNN, followed by WaveNet synthesis, produces class-specific utterances that human evaluators can interpret, supporting its use for model debugging.