Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition
Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition
Attention-based sequence-to-sequence automatic speech recognition (ASR) requires a significant delay to recognize long utterances because the output is generated after receiving entire input sequences. Although several studies recently proposed sequence mechanisms for incremental speech recognition (ISR), using different frameworks and learning algorithms is more complicated than the standard ASR model. …