ABSTRACT
Voice banking involves recording an inventory of sentences produced via natural speech. The recordings are used to create a synthetic text-to-speech voice that can be installed on speech-generating devices. This study highlights a minimally researched, clinically relevant issue surrounding the development and evaluation of Singaporean-accented English synthetic voices that were created using readily available voice banking software and hardware. Processes used to create seven unique synthetic voices that produce Singaporean-accented English, and the development of a custom Singaporean Colloquial English (SCE) recording inventory, are reviewed. The perspectives of adults who spoke SCE and banked their voices for this project are summarized and were generally positive. Finally, 100 adults familiar with SCE participated in an experiment that evaluated the intelligibility and naturalness of the Singaporean-accented synthetic voices, as well as the effect of the SCE custom inventory on listener preferences. The addition of the custom SCE inventory did not affect intelligibility or naturalness of the synthetic speech, and listeners tended to prefer the voice created with the SCE inventory when the stimulus was an SCE passage. The procedures used in this project may be helpful for interventionists who wish to create synthetic voices with accents that are not commercially available.
Subject(s)
Communication Aids for Disabled , Communication Disorders , Speech Perception , Voice , Adult , Humans , Singapore , Speech IntelligibilityABSTRACT
In the fight against COVID-19, the Pfizer and BioNTech vaccine announcement marked a significant turning point. Analysing the topics discussed surrounding the announcement is critical to shed light on how people respond to the vaccination against COVID-19. Specifically, since the COVID-19 vaccine was developed at unprecedented speed, different segments of the public with a different understanding of the issues may react and respond differently. We analysed Twitter tweets to uncover the issues surrounding people's discussion of the vaccination against COVID-19. Through the use of Latent Dirichlet Allocation (LDA), nine topics were identified pertaining to vaccine-related tweets. We analysed the temporal differences in the nine topics, prior and after the official vaccine announcement.
ABSTRACT
Accumulating evidence illustrates the significance of cell plasticity in the molecular biology of liver cancer. Reprogramming of mature parenchymal cells to a less differentiated state by key molecular targets contributes to the pathogenesis of hepatocellular carcinoma (HCC). Hereby, we investigated the role of GATA6, a transcription factor implicated in hepatocyte lineage specification, in HCC. Our results demonstrated a lower expression of GATA6 in HCC tissues compared to the corresponding nontumoral liver tissues. Moreover, GATA6 underexpression, as observed in about 50% cases in our clinical cohort, was associated with a poorer degree of tumor cell differentiation and worse disease-free survival outcome. In vitro, silencing of GATA6 in HCC cells augmented cell migration and invasion abilities of HCC cells by activating epithelial-mesenchymal transition. Self-renewal was also enhanced in vitro. Consistently, in vivo tumorigenicity and self-renewal was promoted upon GATA6 knockdown. Notably, suppression of GATA6 converts HCC cells to a metabolic phenotype recapitulating stem-cell state. Expression of glycolytic markers was elevated in GATA6-knockdown clones accompanied by increased glucose uptake; while overexpression of GATA6 resulted in opposite effects. Further to this, we identified that GATA6 bound to the promoter region of PKM gene and regulated PKM2 transcription. Taken together, downregulation of GATA6 directs HCC cells to glycolytic metabolism and fosters tumorigenicity, self-renewal and metastasis. GATA6 is a transcriptional regulator and a genetic switch that converts the phenotypic reprogramming of HCC cells. It is a potential prognostic biomarker and therapeutic target for liver cancer.
