BEST-RQ - Pytorch Implementation ofBEST-RQ- a model for self-supervised learning of speech signals using a random projection quantizer, in Pytorch. This model can be used to generate semantic tokens for e.g.Spear-TTSorSoundStorm. Appreciation ...
Fix BEST RQ norm error and efficiency changes What does this PR do? fixes issue with normalizing on the wrong dimension in theRandomProjectionQuantizer fixes inconsistency with normalizer in pre-training and fine-tuning scripts makescompute_forwardfunction more efficient by only computing pseudo-targets...
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we propose M-BEST-RQ, the first multi-channel speech foundation model for smart glasses, which is designed to leverage large-scale self-supervised learning (SSL) in an array-geometry agnostic approach. While prior work on multi-channel speech SSL only evaluated on simulated settings, we curate ...