Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Mark Hasegawa"'
Autor:
Abhayjeet Singh, Amala Nagireddi, Anjali Jayakumar, Deekshitha G, Jesuraja Bandekar, Roopa R, Sandhya Badiger, Sathvik Udupa, Saurabh Kumar, Prasanta Kumar Ghosh, Hema A Murthy, Heiga Zen, Pranaw Kumar, Kamal Kant, Amol Bole, Bira Chandra Singh, Keiichi Tokuda, Mark Hasegawa-Johnson, Philipp Olbrich
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 790-798 (2024)
The Lightweight, Multi-speaker, Multi-lingual Indic Text-to-Speech (LIMMITS'23) challenge is organized as part of the ICASSP 2023 Signal Processing Grand Challenge. LIMMITS'23 aims at the development of a lightweight, multi-speaker, multi-lingual Tex
Externí odkaz:
https://doaj.org/article/30416475bd804b8ea7e7a6b9878069a3
Autor:
Nancy L McElwain, Meghan C Fisher, Camille Nebeker, Jordan M Bodway, Bashima Islam, Mark Hasegawa-Johnson
Publikováno v:
JMIR Human Factors, Vol 11, p e49316 (2024)
BackgroundWearable devices permit the continuous, unobtrusive collection of data from children in their natural environments and can transform our understanding of child development. Although the use of wearable devices has begun to emerge in researc
Externí odkaz:
https://doaj.org/article/acf38e749da04fe4a259c4e0caf6db0e
Autor:
Renato Ferreira Leitão Azevedo, Rocio Garcia-Retamero, Daniel G. Morrow, Mark Hasegawa-Johnson, Kuangxiao Gu
Publikováno v:
Human Factors in Healthcare, Vol 4, Iss , Pp 100058- (2023)
Clinical test results are often presented in digital health solutions (e.g., patient portals, mobile phone apps) with limited context to help patients understand implications of this numeric information. Guided by a framework that integrates cognitiv
Externí odkaz:
https://doaj.org/article/e040edbd3cb6497bbffb8f7dc688a6a9
Autor:
Prabal Saxena, Liam S. Morrissey, Rosemary M. Killen, Jason L. McLain, Li Hsia Yeo, Natalie M. Curran, Nithin S. Abraham, Heather V. Graham, Orenthal J. Tucker, Menelaos Sarantos, Aaron B. Regberg, Diane E. Pugel, Andrew W. Needham, Mark Hasegawa, Alfred J. Wong
Publikováno v:
Earth and Space Science, Vol 10, Iss 9, Pp n/a-n/a (2023)
Abstract Future exploration efforts of the Moon, Mars, and other bodies are poised to focus heavily on persistent and sustainable survey and research efforts, especially given the recent interest in a long‐term sustainable human presence at the Moo
Externí odkaz:
https://doaj.org/article/4cd33c8fd99748d39e8796c7be2e88bb
Autor:
Bashima Islam, Nancy L. McElwain, Jialu Li, Maria I. Davila, Yannan Hu, Kexin Hu, Jordan M. Bodway, Ashutosh Dhekne, Romit Roy Choudhury, Mark Hasegawa-Johnson
Publikováno v:
Sensors, Vol 24, Iss 3, p 901 (2024)
Across five studies, we present the preliminary technical validation of an infant-wearable platform, LittleBeats™, that integrates electrocardiogram (ECG), inertial measurement unit (IMU), and audio sensors. Each sensor modality is validated agains
Externí odkaz:
https://doaj.org/article/2c8efffed1454455afe6e8f50f163901
Autor:
Oshane O Thomas, Hongyu Shen, Ryan L Raaum, William E H Harcourt-Smith, John D Polk, Mark Hasegawa-Johnson
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 1, p e1009061 (2023)
The methods of geometric morphometrics are commonly used to quantify morphology in a broad range of biological sciences. The application of these methods to large datasets is constrained by manual landmark placement limiting the number of landmarks a
Externí odkaz:
https://doaj.org/article/ab6ff3c2dd0348d29d9fd336ef1c73d0
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
A language-independent automatic speech recognizer (ASR) is one that can be used for phonetic transcription in languages other than the languages in which it was trained. Language-independent ASR is difficult to train, because different languages imp
Externí odkaz:
https://doaj.org/article/2cdf1e50351a408e81033dd1c0ba1fbd
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:7363-7371
This paper defines fair principal component analysis (PCA) as minimizing the maximum mean discrepancy (MMD) between dimensionality-reduced conditional distributions of different protected classes. The incorporation of MMD naturally leads to an exact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3041ec1b9213be56da476ad1525b02db
https://doi.org/10.1609/aaai.v36i7.20699
https://doi.org/10.1609/aaai.v36i7.20699
Autor:
Jialu Li, Mark Hasegawa-Johnson
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 30:1918-1926
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13e487768f62e42fda3f7eaf48da5764
https://doi.org/10.1109/taslp.2022.3178238
https://doi.org/10.1109/taslp.2022.3178238
Publikováno v:
Speech communication. 133
Classification of infant and parent vocalizations, particularly emotional vocalizations, is critical to understanding how infants learn to regulate emotions in social dyadic processes. This work is an experimental study of classifiers, features, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bab842f185b3f3da106156a2fb52e5e
https://pubmed.ncbi.nlm.nih.gov/36062214
https://pubmed.ncbi.nlm.nih.gov/36062214