Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
Table 3: Decoding accuracy of neural networks of different sizes (Word Error Rate, %)
['[BOLD] Model', '[BOLD] dev-clean', '[BOLD] dev-other', '[BOLD] test-clean', '[BOLD] test-other']
In the next experiment, the neural networks are trained with the same architecture but different layer sizes on the 460x6+500 hours dataset. This shows that larger models are capable of fitting the data and generalizing better, as expected. This allows us to choose the best tradeoff between precision and computational cost depending on each target hardware and assistant needs.