PromptStyle: Controllable Style Transfer for Text-to-Speech with Natural Language Descriptions

Style transfer TTS has shown impressive performance in recent years. However, style control is often restricted to systems built on expressive speech recordings with discrete style categories. In practical situations, users may be interested in transferring style by typing text descriptions of desired styles, without the reference speech in the target style. The text-guided content generation techniques have drawn wide attention recently. In this work, we explore the possibility of controllable style transfer with natural language descriptions. To this end, we propose PromptStyle, a text prompt-guided cross-speaker style transfer system. Specifically, PromptStyle consists of an improved VITS and a cross-modal style encoder. The cross-modal style encoder constructs a shared space of stylistic and semantic representation through a two-stage training process. Experiments show that PromptStyle can achieve proper style transfer with text prompts while maintaining relatively high stability and speaker similarity. Audio samples are available in our demo page

Calibrating the atomic balance by carbon nanoclusters

Carbon atoms are counted at near atomic-level precision using a scanning transmission electron microscope calibrated by carbon nanocluster mass standards. A linear calibration curve governs the working zone from a few carbon atoms up to 34,000 atoms. This linearity enables adequate averaging of the scattering cross sections, imparting the experiment with near atomic-level precision despite the use of a coarse mass reference. An example of this approach is provided for thin layers of stacked graphene sheets. Suspended sheets with a thickness below 100 nm are visualized, providing quantitative measurement in a regime inaccessible to optical and scanning probe methods

Maternal High Fat Diet in Lactation Impacts Hypothalamic Neurogenesis and Neurotrophic Development, Leading to Later Life Susceptibility to Obesity in Male but Not Female Mice

Research Funding National Key Research and Development Program of China. Grant Number: 2018YFA0801000 National Natural Science Foundation of China. Grant Number: 92057206 A Wolfson merit professorship from UK Royal Society Postdoctoral Research Foundation of China. Grant Numbers: 2013M540157, 2014T70135 The KC Wong Education Foundation Grants from the "1000 talents" recruitment program A PIFI professional fellowship from CASPeer reviewedPublisher PD

Microbiota Depletion Impairs Thermogenesis of Brown Adipose Tissue and Browning of White Adipose Tissue

This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB13030000) and Natural Science Foundation of China (NSFC; 91649108), the Chinese Academy of Sciences-Novo Nordisk Foundation, as well as grants from the Chinese Academy of Sciences “1000 Talents” recruitment program and a “Great-Wall Professorship” from the Chinese Academy of Sciences-Novo Nordisk Foundation. J.R.S. was also supported by a Wolfson merit professorship from The UK Royal Society. We are grateful to all of the members of the Molecular Energetics Group for their support and discussion of the results. We would like to thank Dr. Jia and Dr. Sun from the Core Facility for Protein Research from the Institute of Biophysics, Chinese Academy of Sciences for flow cytometry, and Peter Thomson and Marina Samatiou for technical assistance with the DLW measurements.Peer reviewedPublisher PD