Zobrazeno 1 - 10
of 20 436
pro vyhledávání: '"Park Hyun"'
Autor:
Singh Alka, Singh Nakshatra Bahadur, Priya Kanu, Tomar Richa, Al-Qahtani Mohammed Saeed, Imam Mohammad Tarique, Almalki Ziyad Saeed, Abdulmonem Waleed Al, Yadav Krishna Kumar, Park Hyun-Kyung
Publikováno v:
e-Polymers, Vol 23, Iss 1, Pp 568-79 (2023)
Cancers are complicated sicknesses that happen because of many different things going wrong in cells, and as they get worse, the cells undergo many changes one after another. Nanomedicine is a new way to treat diseases like cancer. Tiny particles cal
Externí odkaz:
https://doaj.org/article/12aa2a9a38854f338aeebdb6ccf86a18
The sampling problem under local differential privacy has recently been studied with potential applications to generative models, but a fundamental analysis of its privacy-utility trade-off (PUT) remains incomplete. In this work, we define the fundam
Externí odkaz:
http://arxiv.org/abs/2410.22699
We propose GE2E-KWS -- a generalized end-to-end training and evaluation framework for customized keyword spotting. Specifically, enrollment utterances are separated and grouped by keywords from the training batch and their embedding centroids are com
Externí odkaz:
http://arxiv.org/abs/2410.16647
All-in-one image restoration aims to handle multiple degradation types using one model. This paper proposes a simple pipeline for all-in-one blind image restoration to Restore Anything with Masks (RAM). We focus on the image content by utilizing Mask
Externí odkaz:
http://arxiv.org/abs/2409.19403
Recent advancements in automatic speaker verification (ASV) studies have been achieved by leveraging large-scale pretrained networks. In this study, we analyze the approaches toward such a paradigm and underline the significance of interlayer informa
Externí odkaz:
http://arxiv.org/abs/2409.07770
Autor:
Park, Hyun Jin, Agarwal, Dhruuv, Chen, Neng, Sun, Rentao, Partridge, Kurt, Chen, Justin, Zhang, Harry, Zhu, Pai, Bartel, Jacob, Kastner, Kyle, Wang, Gary, Rosenberg, Andrew, Wang, Quan
The keyword spotting (KWS) problem requires large amounts of real speech training data to achieve high accuracy across diverse populations. Utilizing large amounts of text-to-speech (TTS) synthesized data can reduce the cost and time associated with
Externí odkaz:
http://arxiv.org/abs/2408.10463
Autor:
Park, Hyun Jin, Agarwal, Dhruuv, Chen, Neng, Sun, Rentao, Partridge, Kurt, Chen, Justin, Zhang, Harry, Zhu, Pai, Bartel, Jacob, Kastner, Kyle, Wang, Gary, Rosenberg, Andrew, Wang, Quan
This paper explores the use of TTS synthesized training data for KWS (keyword spotting) task while minimizing development cost and time. Keyword spotting models require a huge amount of training data to be accurate, and obtaining such training data c
Externí odkaz:
http://arxiv.org/abs/2407.18879
One of the challenges in developing a high quality custom keyword spotting (KWS) model is the lengthy and expensive process of collecting training data covering a wide range of languages, phrases and speaking styles. We introduce Synth4Kws - a framew
Externí odkaz:
http://arxiv.org/abs/2407.16840
Vision-Language Models (VLMs) have shown great success as foundational models for downstream vision and natural language applications in a variety of domains. However, these models lack the spatial understanding necessary for robotics applications wh
Externí odkaz:
http://arxiv.org/abs/2407.13856
Autor:
Ahn, Hojae, Briegel, Florian, Han, Jimin, Jeon, Mingyu, Herbst, Thomas M., Lee, Sumin, Park, Woojin, Lee, Sunwoo, Jung, Inhwan, Ji, Tae-Geun, Kim, Changgon, Kim, Geon Hee, Gaessler, Wolfgang, Kuhlberg, Markus, Park, Hyun Chul, Pak, Soojong, Konidaris, Nicholas P., Drory, Niv, Sánchez-Gallego, José R., Froning, Cynthia S., Ramirez, Solange, Kollmeier, Juna A.
The fifth Sloan Digital Sky Survey (SDSS-V) Local Volume Mapper (LVM) is a wide-field integral field unit (IFU) survey that uses an array of four 160 mm fixed telescopes with siderostats to minimize the number of moving parts. Individual telescope ob
Externí odkaz:
http://arxiv.org/abs/2407.08319