A neural network trained in speech recognition 118 processes input frames based on speech content (eg. context generated from bidirectional encoder representations from transformers, BERTs), audible environmental characteristics 114 (eg. noise), regional accent 108 or other factors and adjusts the input (eg. playback speed 126 or volume) if speech-to-text confidence is below a threshold.
Improved media engagement through deep learning