1,530 research outputs found
VoiceLDM: Text-to-Speech with Environmental Context
This paper presents VoiceLDM, a model designed to produce audio that
accurately follows two distinct natural language text prompts: the description
prompt and the content prompt. The former provides information about the
overall environmental context of the audio, while the latter conveys the
linguistic content. To achieve this, we adopt a text-to-audio (TTA) model based
on latent diffusion models and extend its functionality to incorporate an
additional content prompt as a conditional input. By utilizing pretrained
contrastive language-audio pretraining (CLAP) and Whisper, VoiceLDM is trained
on large amounts of real-world audio without manual annotations or
transcriptions. Additionally, we employ dual classifier-free guidance to
further enhance the controllability of VoiceLDM. Experimental results
demonstrate that VoiceLDM is capable of generating plausible audio that aligns
well with both input conditions, even surpassing the speech intelligibility of
the ground truth audio on the AudioCaps test set. Furthermore, we explore the
text-to-speech (TTS) and zero-shot text-to-audio capabilities of VoiceLDM and
show that it achieves competitive results. Demos and code are available at
https://voiceldm.github.io.Comment: Demos and code are available at https://voiceldm.github.i
Xenon excimer emission from multicapillary discharges in direct current mode
Microdischarges in xenon have been generated in a pressure range of 400–1013 mbar with a fixed flow rate of 100 sccm. These microdischarges are obtained from three metallic capillary tubes in series for excimer emission. Total discharge voltage is thrice as large as that of a single capillary discharge tube at current levels of up to 12 mA. Total spectral irradiance of vacuum ultraviolet (VUV) emission also increases significantly compared to that of the single capillary discharge. Further, the irradiance of the VUV emission is strongly dependent on pressure as well as the discharge current
Ultraviolet photodepletion spectroscopy of dibenzo-18-crown-6-ether complexes with alkali metal cations
Ultraviolet photodepletion spectra of dibenzo-18-crown-6-ether complexes with alkali metal cations (M+-DB18C6, M = Cs, Rb, K, Na, and Li) were obtained in the gas phase using electrospray ionization quadrupole ion-trap reflectron time-of-flight mass spectrometry. The spectra exhibited a few distinct absorption bands in the wavenumber region of 35450−37800 cm^(−1). The lowest-energy band was tentatively assigned to be the origin of the S_0-S_1 transition, and the second band to a vibronic transition arising from the “benzene breathing” mode in conjunction with symmetric or asymmetric stretching vibration of the bonds between the metal cation and the oxygen atoms in DB18C6. The red shifts of the origin bands were observed in the spectra as the size of the metal cation in M^+-DB18C6 increased from Li^+ to Cs^+. We suggested that these red shifts arose mainly from the decrease in the binding energies of larger-sized metal cations to DB18C6 at the electronic ground state. These size effects of the metal cations on the geometric and electronic structures, and the binding properties of the complexes at the S_0 and S_1 states were further elucidated by theoretical calculations using density functional and time-dependent density functional theories
Fabrication of n-type nanotube transistors with large-work-function electrodes
The authors found experimentally that carbon nanotube field-effect transistors (CNFETs) could exhibit n -type characteristics even though their electrodes consist of a large-work-function metal such as Co. To explain their result, which is contrary to the general belief that CNFETs with large-work-function electrodes always lead to p -type characteristics, ab initio electronic structure calculation for the metal-carbon nanotube junction was performed, which showed that the Fermi level alignment at the junction could sensitively depend on microscopic structures of the metal-carbon nanotube junction. This suggests that deposition method of electrodes as well as the metal type could be utilized to obtain n -type CNFETs.open121
Effects of acupuncture on gastrointestinal diseases and its underlying mechanism: a literature review of animal studies
Acupuncture is a non-pharmacological traditional Chinese medical technique that has been used for various types of gastrointestinal (GI) diseases in Eastern medicine. However, the specific mechanisms underlying acupuncture treatment in the GI tract have not yet been elucidated. In this study, we searched the electronic databases PUBMED, EMBASE, and MEDLINE and identified 30 eligible studies that were summarized in this review. This review demonstrates that treatments, including both manual and electroacupuncture, have therapeutic mechanisms in diverse GI diseases. The underlying mechanisms are broadly divided into the following: changes in gene expression in the gastric mucosa or nuclei of the solitary tract, metabolic change induction, regulation of anti-inflammatory substances, vagal activity increase, change in functional connectivity between brain regions, and control of the number of neurons related to GI diseases. Although this study is limited in that it does not represent all types of GI diseases with different acupuncture methods, this study identified acupuncture as effective for GI diseases through various biological mechanisms. We hope that our study will reveal various mechanisms of acupuncture in GI diseases and play an important role in the therapy and treatment of GI diseases, thus advancing the field of study
Real-time detection of an airborne microorganism using inertial impaction and mini-fluorescent microscopy
To achieve successful real-time detection of airborne pathogenic microorganisms, the problem must be considered in terms of their physical size and biological characteristics. We developed an airborne microorganism detection chip to realize the detection of microorganisms, ensuring compactness, sensitivity, cost-efficiency, and portability, using three key components: an inertial impaction system, a cartridge-type impaction plate, and a mini-fluorescent microscope. The inertial impaction system was used to separate microorganisms in terms of their aerodynamic particle size, and was fabricated with three impaction stages. Numerical analysis was performed to design the system; the calculated cutoff diameter at each impaction stage was 2.02 (first stage), 0.88 (second stage), and 0.54 μm (third stage). The measured cutoff diameters were 2.24, 0.91, and 0.49 μm, respectively. A cartridge-type impaction plate was used, composed of molded polydimethylsiloxane (PDMS) and an actual impaction region made of a SYBR green I dye-stained agar plate. A mini-fluorescent microscope was used to distinguish microbes from non-biological particles. Images of the microorganisms deposited at the impaction zone were obtained via mini-fluorescent microscopy, and fluorescent intensities of the images were calculated using in-house image-processing software. The results showed that the developed system successfully identified aerosolized biological particles from non-biological particles in real time
Rethinking Session Variability: Leveraging Session Embeddings for Session Robustness in Speaker Verification
In the field of speaker verification, session or channel variability poses a
significant challenge. While many contemporary methods aim to disentangle
session information from speaker embeddings, we introduce a novel approach
using an additional embedding to represent the session information. This is
achieved by training an auxiliary network appended to the speaker embedding
extractor which remains fixed in this training process. This results in two
similarity scores: one for the speakers information and one for the session
information. The latter score acts as a compensator for the former that might
be skewed due to session variations. Our extensive experiments demonstrate that
session information can be effectively compensated without retraining of the
embedding extractor
Chiral orbital-angular-momentum in the surface states of Bi2Se3
Locking of the spin of a quasi-particle to its momentum in split bands of on
the surfaces of metals and topological insulators (TIs) is understood in terms
of Rashba effect where a free electron in the surface states feels an effective
magnetic field. On the other hand, the orbital part of the angular momentum
(OAM) is usually neglected. We performed angle resolved photoemission
experiments with circularly polarized lights and first principles density
functional calculation with spin-orbit coupling on a TI, Bi2Se3, to study the
local OAM of the surface states. We show from the results that OAM in the
surface states of Bi2Se3 is significant and locked to the electron momentum in
opposite direction to the spin, forming chiral OAM states. Our finding opens a
new possibility to have strong light-induced spin-polarized current in the
surface states.Comment: 5 pages, 4 figures, 1 tabl
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