Papers with gated neural network
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion (P19-1)
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| Challenge: | Existing speech recognition systems are built at individual, isolated utterance level to make building systems computationally feasible. |
| Approach: | They propose to use text-based external word and/or sentence embeddings to integrate conversational context information into a single neural network model. |
| Outcome: | The proposed model outperforms standard end-to-end speech recognition models on the Switchboard conversational speech corpus and improves word error rate with better conversational-context representation. |