FRAME SKIPPING WITH EXTRAPOLATION AND OUTPUTS ON DEMAND NEURAL NETWORK FOR AUTOMATIC SPEECH RECOGNITION

摘要

Techniques related to implementing neural networks for speech recognition systems are discussed. Such techniques may include implementing frame skipping and/or demand distances using approximated skip frames so that only the output required by the utterance decoder is provided via a neural network or approximation technique.