AT the World's Fairs in New York and San Francisco great interest was shown in the speech synthesizer shown in the Bell System exhibits. In the December number of the Bell Laboratories Record, H.

Abstract: While transformers demonstrate outstanding performance across various audio tasks, their application to neural vocoders remains challenging. Neural vocoders require the generation of long ...

Learn the benefits and risks of options and how to start trading options Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Samantha (Sam) Silberstein, CFP®, CSLP®, ...

Abstract: Vocoders, encoding speech signals into acoustic features and allowing for speech signal reconstruction from them, have been studied for decades. Recently, the rise of deep learning has ...

Despite significant advances in neural vocoders using diffusion models and their variants, these methods, unfortunately, inherently suffer from a performance-inference dilemma, which stems from the ...

Although deep neural networks have facilitated significant progress of neural vocoders in recent years, they usually suffer from intrinsic challenges like opaque modeling, inflexible retraining under ...