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Artificial intelligence: Implications for the future of work.
Howard J. Howard J. Am J Ind Med. 2019 Nov;62(11):917-926. doi: 10.1002/ajim.23037. Epub 2019 Aug 22. Am J Ind Med. 2019. PMID: 31436850 Review.
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics, cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer engineering. ...Since then, AI applications made possible by machine learning (ML), …
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics, cognitive psychology, decision theor …
A Multi-Core Controller for an Embedded AI System Supporting Parallel Recognition.
Jang S, Oh HW, Yoon YH, Hwang DH, Jeong WS, Lee SE. Jang S, et al. Micromachines (Basel). 2021 Jul 21;12(8):852. doi: 10.3390/mi12080852. Micromachines (Basel). 2021. PMID: 34442477 Free PMC article.
A system with federated learning supports a variety of client systems. To build an AI system with resource-limited client systems, composing the client system with multiple embedded AI processors is valid. ...
A system with federated learning supports a variety of client systems. To build an AI system with resource-limited clie …
A novel smart photoelectric lock system: Speech transmitted by laser and speech to text.
Guo CY, Hsieh TL, Chang CC, Perng JW. Guo CY, et al. Heliyon. 2023 Mar 15;9(3):e14510. doi: 10.1016/j.heliyon.2023.e14510. eCollection 2023 Mar. Heliyon. 2023. PMID: 36967961 Free PMC article.
This research implements a smart lock system that can set a pre-record speech cipher and verify the similarity through a laser transmission speech cipher to unlock it. ...Compared with only using automatic speech recognition (ASR) to unlock, the …
This research implements a smart lock system that can set a pre-record speech cipher and verify the similarity through a laser …
25th Annual Computational Neuroscience Meeting: CNS-2016.
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, Levi R, Rodriguez FB, Varona P, Hwang E, Kim B, Han HB, Kim T, McKenna JT, Brown RE, McCarley RW, Choi JH, Rankin J, Popp PO, Rinzel J, Tabas A, Rupp A, Balaguer-Ballester E, Maturana MI, Grayden DB, Cloherty SL, Kameneva T, Ibbotson MR, Meffin H, Koren V, Lochmann T, Dragoi V, Obermayer K, Psarrou M, Schilstra M, Davey N, Torben-Nielsen B, Steuber V, Ju H, Yu J, Hines ML, Chen L, Yu Y, Kim J, Leahy W, Shlizerman E, Birgiolas J, Gerkin RC, Crook SM, Viriyopase A, Memmesheimer RM, Gielen S, Dabaghian Y, DeVito J, Perotti L, Kim AJ, Fenk LM, Cheng C, Maimon G, Zhao C, Widmer Y, Sprecher S, Senn W, Halnes G, Mäki-Marttunen T, Keller D, Pettersen KH, Andreassen OA, Einevoll GT, Yamada Y, Steyn-Ross ML, Alistair Steyn-Ross D, Mejias JF, Murray JD, Kennedy H, Wang XJ, Kruscha A, Grewe J, Benda J, Lindner B, Badel L, Ohta K, Tsuchimoto Y, Kazama H, Kahng B, Tam ND, Pollonini L, Zouridakis G, Soh J, Kim D, Yoo M, Palmer SE, Culmone V, Bojak I, Ferrario A, Merrison-Hort R, Borisyuk R, Kim CS, Tezuka T, Joo P, Rho YA, Burt… See abstract for full author list ➔ Sharpee TO, et al. BMC Neurosci. 2016 Aug 18;17 Suppl 1(Suppl 1):54. doi: 10.1186/s12868-016-0283-6. BMC Neurosci. 2016. PMID: 27534393 Free PMC article.
Aton, Michal Zochowski P26 Stochastic Oscillation in Self-Organized Critical States of Small Systems: Sensitive Resting State in Neural Systems Sheng-Jun Wang, Guang Ouyang, Jing Guang, Mingsha Zhang, K. ...Rasch P75 Inferring collective spiking dynamics from mostly …
Aton, Michal Zochowski P26 Stochastic Oscillation in Self-Organized Critical States of Small Systems: Sensitive Resting State in Neur …
Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition.
Simistira Liwicki F, Gupta V, Saini R, De K, Abid N, Rakesh S, Wellington S, Wilson H, Liwicki M, Eriksson J. Simistira Liwicki F, et al. Sci Data. 2023 Jun 13;10(1):378. doi: 10.1038/s41597-023-02286-w. Sci Data. 2023. PMID: 37311807 Free PMC article.
The recognition of inner speech, which could give a 'voice' to patients that have no ability to speak or move, is a challenge for brain-computer interfaces (BCIs). ...The aim of this work is to provide a publicly available bimodal dataset on inner speech, con …
The recognition of inner speech, which could give a 'voice' to patients that have no ability to speak or move, is a challenge …
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization.
Davila-Chacon J, Liu J, Wermter S. Davila-Chacon J, et al. IEEE Trans Neural Netw Learn Syst. 2019 Jan;30(1):138-150. doi: 10.1109/TNNLS.2018.2830119. Epub 2018 Jun 4. IEEE Trans Neural Netw Learn Syst. 2019. PMID: 29993561
Inspired by the behavior of humans talking in noisy environments, we propose an embodied embedded cognition approach to improve automatic speech recognition (ASR) systems for robots in challenging environments, such as with ego noise, using binaural so …
Inspired by the behavior of humans talking in noisy environments, we propose an embodied embedded cognition approach to improve autom …
Multi-dimensional task recognition for human-robot teaming: literature review.
Baskaran P, Adams JA. Baskaran P, et al. Front Robot AI. 2023 Aug 7;10:1123374. doi: 10.3389/frobt.2023.1123374. eCollection 2023. Front Robot AI. 2023. PMID: 37609665 Free PMC article. Review.
An important element of such adaptation is the robot's ability to infer the human teammate's tasks. Environmentally embedded sensors (e.g., motion capture and cameras) are infeasible in such environments for task recognition, but wearable sensors are a viable task …
An important element of such adaptation is the robot's ability to infer the human teammate's tasks. Environmentally embedded sensors …
End-to-end speech emotion recognition using a novel context-stacking dilated convolution neural network.
Tang D, Kuppens P, Geurts L, van Waterschoot T. Tang D, et al. EURASIP J Audio Speech Music Process. 2021;2021(1):18. doi: 10.1186/s13636-021-00208-5. Epub 2021 May 12. EURASIP J Audio Speech Music Process. 2021. PMID: 34721556 Free PMC article.
Hence, a performant speech emotion recognition (SER) system requires a predictive model that is capable of learning sufficiently long temporal dependencies in the analysed speech signal. ...Moreover, we show that the proposed model can efficiently lear …
Hence, a performant speech emotion recognition (SER) system requires a predictive model that is capable of learning suf …
Histogram of States Based Assistive System for Speech Impairment Due to Neurological Disorders.
Chandrakala S, Malini S, Veni SV. Chandrakala S, et al. IEEE Trans Neural Syst Rehabil Eng. 2021;29:2425-2434. doi: 10.1109/TNSRE.2021.3125314. Epub 2021 Nov 25. IEEE Trans Neural Syst Rehabil Eng. 2021. PMID: 34735346
Learning compact and discriminative embeddings for dysarthric speech utterances is essential for impaired speech recognition. ...The discriminative ability and the compactness of the proposed HoS-based embeddings lead to the best accuracy of imp …
Learning compact and discriminative embeddings for dysarthric speech utterances is essential for impaired speech rec …
Accent Recognition with Hybrid Phonetic Features.
Zhang Z, Wang Y, Yang J. Zhang Z, et al. Sensors (Basel). 2021 Sep 18;21(18):6258. doi: 10.3390/s21186258. Sensors (Basel). 2021. PMID: 34577464 Free PMC article.
The performance of voice-controlled systems is usually influenced by accented speech. To make these systems more robust, frontend accent recognition (AR) technologies have received increased attention in recent years. As accent is a high-level abstract …
The performance of voice-controlled systems is usually influenced by accented speech. To make these systems more robust …
92 results