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Found 4 papers, 1 papers with code
Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis
To overcome previous limitations, we propose effective methods for feature learning and representing target speakers' speech characteristics by discretizing the features and conditioning them to a speech synthesis model.
VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design
Single-stage text-to-speech models have been actively studied recently, and their results have outperformed two-stage pipeline systems.
DNA Supercoiling Drives a Transition between Collective Modes of Gene Synthesis
We assume that torsional stress experienced by individual RNAPs is exacerbated by high RNAP density on the gene and that transcription factors act as physical barriers to the diffusion of DNA supercoils.
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
Deep reinforcement learning (DRL) has shown remarkable success in sequential decision-making problems but suffers from a long training time to obtain such good performance.
