Recycle Your Wav2Vec2 Codebook: A Speech Perceiver for Keyword Spotting (2022.coling-1)
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| Challenge: | Pretraining a keyword Spotting model with a pretraining encoder is expensive and requires a quadratic cost. |
| Approach: | They propose to recycle phonetic information encoded in wav2vec2.0's latent codebook, which has been typically thrown away after pretraining. |
| Outcome: | The proposed model can be initialized with phonetic embeddings, and it delivers accuracy gains at no latency costs. |
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