Papers by Jordi Luque

1 papers
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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