Non-autoregressive text to speech (TTS) models such as FastSpeech can synthesize speech
significantly faster than previous autoregressive models with comparable quality. The …

Neural network based end-to-end text to speech (TTS) has significantly improved the quality
of synthesized speech. Prominent methods (eg, Tacotron 2) usually first generate mel-…

Heterogeneous pools of adult neural stem cells (NSCs) contribute to brain maintenance
and regeneration after injury. The balance of NSC activation and quiescence, as well as the …

Quantitative real-time polymerase chain reactions (qRT-PCR) have become the method of
choice for rapid, sensitive, quantitative comparison of RNA transcript abundance. Useful data …

Layering in the sun: Layered graphene and quantum dot (QD) films can be fabricated simply
on transparent conducting indium tin oxide (ITO) substrates from aqueous solutions. The …

We introduce a language modeling approach for text to speech synthesis (TTS). Specifically,
we train a neural codec language model (called Vall-E) using discrete codes derived from …

Rational regulation of electrochemical reconfiguration and exploration of activity origin are
important foundations for realizing the optimization of electrocatalyst activity, but rather …

Although end-to-end neural text-to-speech (TTS) methods (such as Tacotron2) are
proposed and achieve state-of-theart performance, they still suffer from two problems: 1) low …

Near-infrared (NIR) fluorescent sensors have emerged as promising molecular tools for
imaging biomolecules in living systems. However, NIR fluorescent sensors are very challenging …

Background Online misinformation proliferation during the COVID-19 pandemic has become
a major public health concern. Objective We aimed to assess the prevalence of COVID-19 …