Results 51 to 60 of about 3,404,707 (247)
FEBS Open Bio, EarlyView.Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya +2 more
wiley +1 more source
Robustness of HMM-based speech synthesis [PDF]
, 2008 As speech synthesis techniques become more advanced, we are able to consider building high-quality voices from data collected outside the usual highly-controlled recording studio environment.
Ling, Z. +5 more
core
Information, 2019 Text-to-speech synthesis is a computational technique for producing synthetic, human-like speech by a computer. In recent years, speech synthesis techniques have developed, and have been employed in many applications, such as automatic translation ...
Yifan Liu, Jin Zheng
doaj +1 more source
FEBS Open Bio, EarlyView.Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo +4 more
wiley +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
FEBS Open Bio, EarlyView.Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Synthesizing Fast Speech by Implementing Multi-Phone Units in Unit Selection Speech Synthesis [PDF]
, 2010 Moers D, Jauk I, Möbius B, Wagner P. Synthesizing Fast Speech by Implementing Multi-Phone Units in Unit Selection Speech Synthesis. In: Proceedings of 7th ISCA Tutorial and Research Workshop on Speech Synthesis (SSW-7).
Wagner, Petra ; https://orcid.org/ +3 more
core
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
FEBS Open Bio, EarlyView.Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
Recent development of the HMM-based speech synthesis system (HTS) [PDF]
, 2009 A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown in popularity over the last few years. In this approach, spectrum, excitation, and duration of speech are simultaneously modeled by context-dependent ...
Tokuda, Keiichi +9 more
core
Research on a Mongolian Text to Speech Model Based on Ghost and ILPCnet
Applied SciencesThe core challenge of speech synthesis technology is how to convert text information into an audible audio form to meet the needs of users. In recent years, the quality of speech synthesis based on end-to-end speech synthesis models has been ...
Qing-Dao-Er-Ji Ren +3 more
doaj +1 more source
Deep Learning for Mandarin-Tibetan Cross-Lingual Speech Synthesis
IEEE Access, 2019 This paper proposes a deep learning-based Mandarin-Tibetan cross-lingual speech synthesis to realize both Mandarin speech synthesis and Tibetan speech synthesis under a unique framework.
Weizhao Zhang +3 more
doaj +1 more source