The article centers on a new decoding method named Permute-and-Flip (PF) decoder. This decoder exhibits robustness features akin to the standard sampling decoder, but it is provably up to 2x…
Continue readingThe paper discusses a new approach towards audio-visual target speaker extraction (AVTSE) task in the Multi-modal Information based Speech Processing (MISP) 2023 Challenge. The approach uses different extraction strategies based…
Continue readingThis academic article discusses the potential of using uncertainty measures derived from self-supervised learning (SSL) models like wav2vec for predicting audio quality in voice synthesis and conversion systems. Traditional methods…
Continue readingThe paper by Mark Levy and others from Apple demonstrates how conditional generation from diffusion models can be applied to various tasks in music production. This includes continuation, inpainting, and…
Continue readingThe paper addresses the issue of distributional shift in machine learning models, especially in text-to-audio generation. The authors observe a consistent audio quality degradation in generated audio samples with user…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
