Feb. 27, 2024, 5:42 a.m. | Haocheng LiuIP Paris, LTCI, IDS, S2A, Teysir BaouebIP Paris, LTCI, IDS, S2A, Mathieu FontaineIP Paris, LTCI, IDS, S2A, Jonathan Le RouxMERL, Gael Rich

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.15516v1 Announce Type: cross
Abstract: Diffusion models are receiving a growing interest for a variety of signal generation tasks such as speech or music synthesis. WaveGrad, for example, is a successful diffusion model that conditionally uses the mel spectrogram to guide a diffusion process for the generation of high-fidelity audio. However, such models face important challenges concerning the noise diffusion process for training and inference, and they have difficulty generating high-quality speech for speakers that were not seen during training. …

abstract arxiv audio cs.lg cs.sd diffusion diffusion model diffusion models eess.as eess.sp example fidelity griffin guide music music synthesis process signal spectrogram speech synthesis tasks type

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Data Engineer (m/f/d)

@ Project A Ventures | Berlin, Germany

Principle Research Scientist

@ Analog Devices | US, MA, Boston