Results 111 to 120 of about 417,336 (324)

Voice emotion recognition by Mandarin‐speaking pediatric cochlear implant users in Taiwan

Laryngoscope Investigative Otolaryngology, 2022
Objectives To explore the effects of obligatory lexical tone learning on speech emotion recognition and the cross‐culture differences between United States and Taiwan for speech emotion understanding in children with cochlear implant. Methods This cohort
Yung‐Song Lin, Che‐Ming Wu, Charles J. Limb, Hui‐Ping Lu, I. Jung Feng, Shu‐Chen Peng, Mickael L. D. Deroche, Monita Chatterjee   +7 more
doaj   +1 more source

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source

Automatic Emotion Recognition in Speech: Possibilities and Significance [PDF]

Electronics, 2009
Automatic speech recognition and spoken language understanding are crucial steps towards a natural humanmachine interaction. The main task of the speech communication process is the recognition of the word sequence, but the recognition of prosody ...
Milana Bojanić, Vlado Delić
doaj  

Highly Sensitive Oxidation‐Resistant Degradable Janus Piezoresistive Electronic Skin for Sustainable Wearable Electronics

Advanced Healthcare Materials, EarlyView.
This study presents a highly sensitive, oxidation‐resistant, biocompatible, and degradable Janus piezoresistive electronic skin for sustainable wearable electronics. The electronic skin exhibits sensitive and stable response across a broad pressure range, exceptional oxidation resistance, and Janus wettability.
Joon Kim, Mohammad Zarei, Deristisya Zahra, Yuhan Lee, Daegun Kim, Seung Goo Lee   +5 more
wiley   +1 more source

In-depth investigation of speech emotion recognition studies from past to present –The importance of emotion recognition from speech signal for AI–

Intelligent Systems with Applications
In the super smart society (Society 5.0), new and rapid methods are needed for speech recognition, emotion recognition, and speech emotion recognition areas to maximize human-machine or human-computer interaction and collaboration. Speech signal contains
Yeşim ÜLGEN SÖNMEZ, Asaf VAROL
doaj   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Expressive Speech Identifications based on Hidden Markov Model [PDF]

, 2009
This paper concerns a sub-area of a larger research field of Affective Computing, focusing on the employment of affect-recognition systems using speech modality.
Barra Chicote, Roberto, Gallardo Antolín, Ascensión, Lebai Lutfi, Syaheerah Binti, Lucas Cuesta, Juan Manuel, Montero Martínez, Juan Manuel   +4 more
core  

Deep factorization for speech signal

, 2018
Various informative factors mixed in speech signals, leading to great difficulty when decoding any of the factors. An intuitive idea is to factorize each speech frame into individual informative factors, though it turns out to be highly difficult ...
Chen, Yixiang, Li, Lantian, Shi, Ying, Tang, Zhiyuan, Wang, Dong, Zheng, Thomas Fang   +5 more
core   +1 more source