Philip Harding

Slot-Triggered Contextual Biasing For Personalized Speech Recognition Using Neural Transducers

End-to-end (E2E) automatic speech recognition (ASR) models have been found to perform well on general transcription tasks but often fail to correctly recognize words that occur infrequently in the training data. Personalization is important for a variety of tasks, including virtual assistants where…