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Speech SSL works better without the baggage of discrete codebooks or EMA teachers: predicting raw latent states under Gaussian regularization outpaces existing sub-90M baselines by 43% on frozen ASR.
Experiments show that ZipCodec substantially outperforms existing streaming codecs at comparable bitrates in both reconstruction and downstream tasks, while operating at a significantly lower frame rate.
CCBR empowers users to shape their recommendations through text-driven interactions, outperforming traditional models while maintaining high interpretability.
MambAdapter achieves superior performance in audio and speech tasks while drastically cutting down on computational resources.
Ditch the text: WavSLM shows you can train a competitive speech language model using only distilled WavLM representations, unlocking a simpler, single-stream generative pretraining paradigm for speech.
