We build on wav2vec 2.0 which is trained by solving a contrastive task over | |
masked latent speech representations and jointly learns a quantization of the latents shared across languages. |
We build on wav2vec 2.0 which is trained by solving a contrastive task over | |
masked latent speech representations and jointly learns a quantization of the latents shared across languages. |