Search Results - "Cho, Hyunjae"

A critical review on machine learning applications in fiber composites and nanocomposites: Towards a control loop in the chain of processes in industries by Gomez-Flores, Allan, Cho, Hyunjae, Hong, Gilsang, Nam, Hyojeong, Kim, Hyunjung, Chung, Yongsik

“…[Display omitted] •Statistics and language processing tools were used to analysis papers.•Fiber polymer composites were largely used in machine learning…”
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Calculation of π and Classification of Self-avoiding Lattices via DNA Configuration by Tandon, Anshula, Kim, Seungjae, Song, Yongwoo, Cho, Hyunjae, Bashar, Saima, Shin, Jihoon, Ha, Tai Hwan, Park, Sung Ha

“…Numerical simulation ( e . g . Monte Carlo simulation) is an efficient computational algorithm establishing an integral part in science to understand complex…”
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Construction of one-dimensional random walk lattices using DNA algorithmic self-assembly by Raza, Muhammad Tayyab, Tandon, Anshula, Son, Junyoung, Park, Suyoun, Lee, Sungjin, Cho, Hyunjae, Ha, Tai Hwan, Park, Sung Ha

“…Algorithmic DNA lattices are constructed using pre-defined rules such as COPY, NOT, and XOR, where patterns are predicted based on initial values. However, the…”
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Mutational Activation of Antibiotic-Resistant Mechanisms in the Absence of Major Drug Efflux Systems of Escherichia coli by Cho, Hyunjae, Misra, Rajeev

“…Mutations are one of the common means by which bacteria acquire resistance to antibiotics. In an Escherichia coli mutant lacking major antibiotic efflux pumps…”
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PhaseAug: A Differentiable Augmentation for Speech Synthesis to Simulate One-to-Many Mapping by Lee, Junhyeok, Han, Seungu, Cho, Hyunjae, Jung, Wonbin

“…Previous generative adversarial network (GAN)-based neural vocoders are trained to reconstruct the exact ground truth wave-form from the paired mel-spectrogram…”
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3‑Input/1-Output Logic Implementation Demonstrated by DNA Algorithmic Self-Assembly by Cho, Hyunjae, Mitta, Sekhar Babu, Song, Yongwoo, Son, Junyoung, Park, Suyoun, Ha, Tai Hwan, Park, Sung Ha

“…Although structural DNA nanotechnology is a well-established field, computations performed using DNA algorithmic self-assembly is still in the primitive stages…”
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Talking Face Generation with Multilingual TTS by Song, Hyoung-Kyu, Woo, Sang Hoon, Lee, Junhyeok, Yang, Seungmin, Cho, Hyunjae, Lee, Youseong, Choi, Dongho, Kim, Kang-Wook

“…Recent studies in talking face generation have focused on building a model that can generalize from any source speech to any target identity. A number of works…”
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FloraVision: A Spatial Crowd-based Learning System for California Native Plants by Constantinou, George, Orhan, Onur, Kondepudi, Roopal, Cho, Hyunjae, Kim, Seon Ho, Alfarrarjeh, Abdullah, Shahabi, Cyrus

“…With the availability of massive amounts of visual data covering wide geographical regions, various image learning applications have emerged, including…”
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JenGAN: Stacked Shifted Filters in GAN-Based Speech Synthesis by Cho, Hyunjae, Lee, Junhyeok, Jung, Wonbin

“…Non-autoregressive GAN-based neural vocoders are widely used due to their fast inference speed and high perceptual quality. However, they often suffer from…”
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PhaseAug: A Differentiable Augmentation for Speech Synthesis to Simulate One-to-Many Mapping by Lee, Junhyeok, Han, Seungu, Cho, Hyunjae, Jung, Wonbin

“…Previous generative adversarial network (GAN)-based neural vocoders are trained to reconstruct the exact ground truth waveform from the paired mel-spectrogram…”
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PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS by Lee, Junhyeok, Jung, Wonbin, Cho, Hyunjae, Kim, Jaeyeon, Kim, Jaehwan

“…Previous pitch-controllable text-to-speech (TTS) models rely on directly modeling fundamental frequency, leading to low variance in synthesized speech. To…”
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SANE-TTS: Stable And Natural End-to-End Multilingual Text-to-Speech by Cho, Hyunjae, Jung, Wonbin, Lee, Junhyeok, Woo, Sang Hoon

“…In this paper, we present SANE-TTS, a stable and natural end-to-end multilingual TTS model. By the difficulty of obtaining multilingual corpus for given…”
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Talking Face Generation with Multilingual TTS by Song, Hyoung-Kyu, Woo, Sang Hoon, Lee, Junhyeok, Yang, Seungmin, Cho, Hyunjae, Lee, Youseong, Choi, Dongho, Kim, Kang-wook

“…In this work, we propose a joint system combining a talking face generation system with a text-to-speech system that can generate multilingual talking face…”
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