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Improving QA Model Performance with Cartographic Inoculation
QA models are faced with complex and open-ended contextual reasoning problems, but can often learn well-performing solution heuristics by exploiting dataset-specific patterns in their training data.
High-precision Voice Search Query Correction via Retrievable Speech-text Embedings
In this paper, we eliminate the hypothesis-audio mismatch problem by querying the correction database directly using embeddings derived from the utterance audio; the embeddings of the utterance audio and candidate corrections are produced by multimodal speech-text embedding networks trained to place the embedding of the audio of an utterance and the embedding of its corresponding textual transcript close together.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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