{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T03:40:03Z","timestamp":1732333203101,"version":"3.28.0"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003052","name":"MOTIE","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010418","name":"IITP","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.com.au","clinicalkey.es","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers in Biology and Medicine"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1016\/j.compbiomed.2024.109090","type":"journal-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T19:11:58Z","timestamp":1725390718000},"page":"109090","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Speech synthesis from three-axis accelerometer signals using conformer-based deep neural network"],"prefix":"10.1016","volume":"182","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-0705-7299","authenticated-orcid":false,"given":"Jinuk","family":"Kwon","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0009-0007-3560-2019","authenticated-orcid":false,"given":"Jihun","family":"Hwang","sequence":"additional","affiliation":[]},{"given":"Jee Eun","family":"Sung","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3795-3318","authenticated-orcid":false,"given":"Chang-Hwan","family":"Im","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.compbiomed.2024.109090_bib1","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.specom.2009.08.002","article-title":"Silent speech interfaces","volume":"52","author":"Denby","year":"2010","journal-title":"Speech Commun."},{"issue":"12","key":"10.1016\/j.compbiomed.2024.109090_bib2","doi-asserted-by":"crossref","first-page":"2386","DOI":"10.1109\/TASLP.2017.2740000","article-title":"Silent speech recognition as an alternative communication device for persons with laryngectomy","volume":"25","author":"Meltzner","year":"2017","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"issue":"3","key":"10.1016\/j.compbiomed.2024.109090_bib3","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1007\/s10055-021-00616-0","article-title":"Deep-learning-based real-time silent speech recognition using facial eelectromyogram recorded around eyes for hands-free interfacing in a virtual reality environment","volume":"26","author":"Cha","year":"2022","journal-title":"Virtual Real."},{"key":"10.1016\/j.compbiomed.2024.109090_bib4","series-title":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","first-page":"1","article-title":"LipType: a silent speech recognizer augmented with an independent repair model","author":"Pandey","year":"2021"},{"key":"10.1016\/j.compbiomed.2024.109090_bib5","series-title":"IEEE Military Communications Conference (MILCOM)","first-page":"1","article-title":"Signal processing advances for the MUTE sEMG-based silent speech recognition system","author":"Deng","year":"2012"},{"key":"10.1016\/j.compbiomed.2024.109090_bib6","series-title":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","first-page":"1","article-title":"Acceptability of speech and silent speech input methods in private and public","author":"Pandey","year":"2021"},{"key":"10.1016\/j.compbiomed.2024.109090_bib7","series-title":"Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology","first-page":"581","article-title":"Lip-interact: improving mobile device interaction with silent speech commands","author":"Sun","year":"2018"},{"key":"10.1016\/j.compbiomed.2024.109090_bib8","series-title":"2019 International Joint Conference on Neural Networks (IJCNN)","first-page":"1","article-title":"Autoencoder-based articulatory-to-acoustic mapping for ultrasound silent speech interfaces","author":"Gosztolya","year":"2019"},{"key":"10.1016\/j.compbiomed.2024.109090_bib9","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.csl.2016.02.002","article-title":"A silent speech system based on permanent magnet articulography and direct synthesis","volume":"39","author":"Gonzalez","year":"2016","journal-title":"Comput. Speech Lang"},{"key":"10.1016\/j.compbiomed.2024.109090_bib10","series-title":"Proceedings of the Eighth Workshop on Speech and Language Processing for Assistive Technologies","first-page":"17","article-title":"Permanent magnetic articulograph (PMA) vs electromagnetic articulograph (EMA) in articulation-to-speech synthesis for silent speech interface","author":"Cao","year":"2019"},{"issue":"4","key":"10.1016\/j.compbiomed.2024.109090_bib11","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/aac965","article-title":"Development of sEMG sensors and algorithms for silent speech recognition","volume":"15","author":"Meltzner","year":"2018","journal-title":"J. Neural. Eng."},{"key":"10.1016\/j.compbiomed.2024.109090_bib12","doi-asserted-by":"crossref","first-page":"429","DOI":"10.3389\/fnins.2016.00429","article-title":"Automatic speech recognition from neural signals: a focused review","volume":"10","author":"Herff","year":"2016","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.compbiomed.2024.109090_bib13","series-title":"2021 29th European Signal Processing Conference (EUSIPCO)","first-page":"945","article-title":"Reconstructing speech from real-time articulatory MRI using neural vocoders","author":"Yu","year":"2021"},{"key":"10.1016\/j.compbiomed.2024.109090_bib14","series-title":"Annual Conference of the International Speech Communication Association (INTERSPEECH)","first-page":"2350","article-title":"Silent-speech command word recognition using electro-optical stomatography","author":"Stone","year":"2016"},{"issue":"12","key":"10.1016\/j.compbiomed.2024.109090_bib15","doi-asserted-by":"crossref","first-page":"2257","DOI":"10.1109\/TASLP.2017.2752365","article-title":"Biosignal-based spoken communication: a survey","volume":"25","author":"Schultz","year":"2017","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"issue":"2","key":"10.1016\/j.compbiomed.2024.109090_bib16","doi-asserted-by":"crossref","first-page":"649","DOI":"10.3390\/s22020649","article-title":"Exploring silent speech interfaces based on frequency-modulated continuous-wave radar","volume":"22","author":"Ferreira","year":"2022","journal-title":"Sensors"},{"issue":"12","key":"10.1016\/j.compbiomed.2024.109090_bib17","doi-asserted-by":"crossref","first-page":"2404","DOI":"10.1109\/TASLP.2018.2865609","article-title":"Non-invasive silent phoneme recognition using microwave signals","volume":"26","author":"Birkholz","year":"2018","journal-title":"IEEE\/ACM Transactions on Audio, Speech, Language Processing"},{"key":"10.1016\/j.compbiomed.2024.109090_bib18","series-title":"IEEE International Ultrasonics Symposium (IUS)","first-page":"1","article-title":"Portable low cost ultrasound imaging system","author":"Sobhani","year":"2016"},{"issue":"1","key":"10.1016\/j.compbiomed.2024.109090_bib19","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1186\/s13634-019-0649-x","article-title":"High-resolution image reconstruction for portable ultrasound imaging devices","volume":"2019","author":"Wang","year":"2019","journal-title":"EURASIP J. Appl. Signal Process."},{"issue":"4","key":"10.1016\/j.compbiomed.2024.109090_bib20","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2560\/12\/4\/046005","article-title":"User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control","volume":"12","author":"He","year":"2015","journal-title":"J. Neural. Eng."},{"key":"10.1016\/j.compbiomed.2024.109090_bib21","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.105909","article-title":"Novel three-Axis accelerometer-based silent speech interface using deep neural network","volume":"120","author":"Kwon","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.compbiomed.2024.109090_bib22","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"2516","article-title":"Lip2Audspec: speech reconstruction from silent lip movements video","author":"Akbari","year":"2018"},{"issue":"2","key":"10.1016\/j.compbiomed.2024.109090_bib23","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1121\/1.1945807","article-title":"Multiresolution spectrotemporal analysis of complex sounds","volume":"118","author":"Chi","year":"2005","journal-title":"J. Acoust. Soc. Am."},{"key":"10.1016\/j.compbiomed.2024.109090_bib24","series-title":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems","first-page":"146","article-title":"SottoVoce: an ultrasound imaging-based silent speech interaction using deep neural networks","author":"Kimura","year":"2019"},{"key":"10.1016\/j.compbiomed.2024.109090_bib25","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"7849","article-title":"Cross-speaker silent-speech command word recognition using electro-optical stomatography","author":"Stone","year":"2020"},{"key":"10.1016\/j.compbiomed.2024.109090_bib26","series-title":"Annual Conference of the International Speech Communication Association (INTERSPEECH)","first-page":"2499","article-title":"Articulatory-to-speech conversion using Bi-directional long short-term memory","author":"Taguchi","year":"2018"},{"issue":"7","key":"10.1016\/j.compbiomed.2024.109090_bib27","doi-asserted-by":"crossref","first-page":"1877","DOI":"10.1587\/transinf.2015EDP7457","article-title":"WORLD: a vocoder-based high-quality speech synthesis system for real-time applications","volume":"99","author":"Morise","year":"2016","journal-title":"IEICE Trans. Info Syst."},{"issue":"12","key":"10.1016\/j.compbiomed.2024.109090_bib28","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1109\/TASLP.2017.2738568","article-title":"EMG-to-Speech: direct generation of speech from facial electromyographic signals","volume":"25","author":"Janke","year":"2017","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"key":"10.1016\/j.compbiomed.2024.109090_bib29","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"93","article-title":"Cepstral analysis synthesis on the Mel frequency scale","author":"Imai","year":"1983"},{"key":"10.1016\/j.compbiomed.2024.109090_bib30","article-title":"Wavenet: a generative model for raw audio","author":"Oord","year":"2016","journal-title":"arXiv preprint arXiv:1609.03499"},{"key":"10.1016\/j.compbiomed.2024.109090_bib31","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"3617","article-title":"Waveglow: a flow-based generative network for speech synthesis","author":"Prenger","year":"2019"},{"key":"10.1016\/j.compbiomed.2024.109090_bib32","series-title":"Advances in Neural Information Processing Systems (NIPS)","article-title":"Melgan: generative adversarial networks for conditional waveform synthesis","author":"Kumar","year":"2019"},{"key":"10.1016\/j.compbiomed.2024.109090_bib33","series-title":"Advances in Neural Information Processing Systems (NIPS)","first-page":"17022","article-title":"Hifi-GAN: generative adversarial networks for efficient and high fidelity speech synthesis","author":"Kong","year":"2020"},{"issue":"12","key":"10.1016\/j.compbiomed.2024.109090_bib34","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1109\/TASLP.2017.2758999","article-title":"Speaker-independent silent speech recognition from flesh-point articulatory movements using an LSTM neural network","volume":"25","author":"Kim","year":"2017","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"key":"10.1016\/j.compbiomed.2024.109090_bib35","doi-asserted-by":"crossref","first-page":"584","DOI":"10.3389\/fnins.2020.00584","article-title":"Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain\u2013computer interface","volume":"14","author":"Asgher","year":"2020","journal-title":"Front. Neurosci."},{"issue":"7","key":"10.1016\/j.compbiomed.2024.109090_bib36","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1109\/TCYB.2018.2831447","article-title":"Describing video with attention-based bidirectional LSTM","volume":"49","author":"Bin","year":"2019","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.compbiomed.2024.109090_bib37","series-title":"Advances in Neural Information Processing Systems (NIPS)","article-title":"Attention is all you need","author":"Vaswani","year":"2017"},{"author":"Dosovitskiy","key":"10.1016\/j.compbiomed.2024.109090_bib38"},{"issue":"1","key":"10.1016\/j.compbiomed.2024.109090_bib39","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1109\/TCBB.2020.3035021","article-title":"Novel transformer networks for improved sequence labeling in genomics","volume":"19","author":"Clauwaert","year":"2022","journal-title":"IEEE ACM Trans. Comput. Biol. Bioinf"},{"key":"10.1016\/j.compbiomed.2024.109090_bib40","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2022.104298","article-title":"Decoding silent speech from high-density surface electromyographic data using transformer","volume":"80","author":"Song","year":"2023","journal-title":"Biomed. Signal Process Control"},{"author":"Gulati","key":"10.1016\/j.compbiomed.2024.109090_bib41"},{"author":"Park","key":"10.1016\/j.compbiomed.2024.109090_bib42"},{"key":"10.1016\/j.compbiomed.2024.109090_bib44","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"6982","article-title":"Torchaudio: building blocks for audio and speech processing","author":"Yang","year":"2022"},{"key":"10.1016\/j.compbiomed.2024.109090_bib45","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.procs.2020.04.013","article-title":"A computationally efficient sEMG-based silent speech interface using channel reduction and decision tree-based classification","volume":"171","author":"Abdullah","year":"2020","journal-title":"Procedia Comput. Sci."},{"issue":"7","key":"10.1016\/j.compbiomed.2024.109090_bib46","doi-asserted-by":"crossref","first-page":"818","DOI":"10.3390\/brainsci12070818","article-title":"Sequence-to-Sequence voice reconstruction for silent speech in a tonal language","volume":"12","author":"Li","year":"2022","journal-title":"Brain Sci."},{"key":"10.1016\/j.compbiomed.2024.109090_bib47","series-title":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing (ICMLC)","first-page":"510","article-title":"Multivariate time series classification based on MCNN-LSTMS network","author":"Guo","year":"2020"},{"key":"10.1016\/j.compbiomed.2024.109090_bib48","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2021.646915","article-title":"Subject-independent functional near-infrared spectroscopy-based brain\u2013computer interfaces based on convolutional neural networks","volume":"15","author":"Kwon","year":"2021","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.compbiomed.2024.109090_bib49","doi-asserted-by":"crossref","DOI":"10.3389\/fninf.2021.777977","article-title":"Automatic diagnosis of schizophrenia in EEG signals using CNN-LSTM models","volume":"15","author":"Shoeibi","year":"2021","journal-title":"Front. Neuroinf."},{"key":"10.1016\/j.compbiomed.2024.109090_bib43","article-title":"A conformer-based acoustic model for robust automatic speech recognition","author":"Yang","year":"2022","journal-title":"arXiv preprint arXiv:2203.00725"},{"key":"10.1016\/j.compbiomed.2024.109090_bib50","series-title":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","first-page":"8","article-title":"Efficient conformer: progressive downsampling and grouped attention for automatic speech recognition","author":"Burchi","year":"2021"},{"key":"10.1016\/j.compbiomed.2024.109090_bib51","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017","journal-title":"arXiv preprint arXiv:1711.05101"},{"key":"10.1016\/j.compbiomed.2024.109090_bib52","article-title":"SGDR: stochastic gradient descent with warm restarts","author":"Loshchilov","year":"2016","journal-title":"arXiv preprint arXiv:1608.03983"},{"key":"10.1016\/j.compbiomed.2024.109090_bib53","series-title":"Advances in Neural Information Processing Systems (NIPS)","article-title":"Automatic differentiation in PyTorch","author":"Paszke","year":"2017"},{"key":"10.1016\/j.compbiomed.2024.109090_bib54","series-title":"Annual Conference of the International Speech Communication Association (INTERSPEECH 2020)","first-page":"3745","article-title":"CSL-EMG_Array: an open access corpus for EMG-to-speech conversion","author":"Diener","year":"2020"},{"key":"10.1016\/j.compbiomed.2024.109090_bib55","series-title":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","first-page":"1","article-title":"EMA2S: an end-to-end multimodal articulatory-to-speech system","author":"Chen","year":"2021"},{"key":"10.1016\/j.compbiomed.2024.109090_bib56","doi-asserted-by":"crossref","first-page":"2582","DOI":"10.1109\/LSP.2022.3184636","article-title":"EPG2S: speech generation and speech enhancement based on electropalatography and audio signals using multimodal learning","volume":"29","author":"Chen","year":"2022","journal-title":"IEEE Signal Process. Lett."},{"issue":"1","key":"10.1016\/j.compbiomed.2024.109090_bib57","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/abca14","article-title":"Towards optimizing electrode configurations for silent speech recognition based on high-density surface electromyography","volume":"18","author":"Zhu","year":"2021","journal-title":"J. Neural. Eng."},{"key":"10.1016\/j.compbiomed.2024.109090_bib58","series-title":"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","first-page":"1","article-title":"Comparison of contributions between facial and neck muscles for speech recognition using high-density surface electromyography","author":"Zhuang","year":"2019"},{"key":"10.1016\/j.compbiomed.2024.109090_bib59","doi-asserted-by":"crossref","DOI":"10.3389\/fnbot.2022.971446","article-title":"A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient","volume":"16","author":"Wu","year":"2022","journal-title":"Front. Neurorob."},{"issue":"1","key":"10.1016\/j.compbiomed.2024.109090_bib70","doi-asserted-by":"crossref","first-page":"797","DOI":"10.3233\/JIFS-223694","article-title":"Deep learning-based feature selection and prediction system for autism spectrum disorder using a hybrid meta-heuristics approach","volume":"45","author":"Chola Raja","year":"2023","journal-title":"J. Intell. Fuzzy Syst."},{"key":"10.1016\/j.compbiomed.2024.109090_bib60","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.106220","article-title":"Cosine deep convolutional neural network for Parkinson's disease detection and severity level classification using hand drawing spiral image in IoT platform","volume":"94","author":"Pragadeeswaran","year":"2024","journal-title":"Biomed. Signal Process Control"},{"key":"10.1016\/j.compbiomed.2024.109090_bib61","series-title":"Advances in Neural Information Processing Systems 27 (NIPS 2014)","article-title":"Generative adversarial nets","author":"Goodfellow","year":"2014"},{"key":"10.1016\/j.compbiomed.2024.109090_bib62","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117574","article-title":"Novel signal-to-signal translation method based on StarGAN to generate artificial EEG for SSVEP-based brain-computer interfaces","volume":"203","author":"Kwon","year":"2022","journal-title":"Expert Syst. Appl."},{"issue":"9","key":"10.1016\/j.compbiomed.2024.109090_bib63","first-page":"4039","article-title":"Generative adversarial networks-based data augmentation for brain-computer interface","volume":"3","author":"Fahimi","year":"2020","journal-title":"IEEE Transact. Neural Networks Learn. Syst."},{"key":"10.1016\/j.compbiomed.2024.109090_bib64","series-title":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","first-page":"2535","article-title":"EEG data augmentation for emotion recognition using a conditional wasserstein GAN","author":"Luo","year":"2018"},{"issue":"2","key":"10.1016\/j.compbiomed.2024.109090_bib65","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1109\/TASE.2021.3054741","article-title":"Transferring subject-specific knowledge across stimulus frequencies in SSVEP-based BCIs","volume":"18","author":"Wong","year":"2021","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"1","key":"10.1016\/j.compbiomed.2024.109090_bib66","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1109\/JPROC.2020.3004555","article-title":"A comprehensive survey on transfer learning","volume":"109","author":"Zhuang","year":"2021","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.compbiomed.2024.109090_bib67","doi-asserted-by":"crossref","DOI":"10.1016\/j.cej.2023.147109","article-title":"Recent progress on tattoo-like electronics: from materials and structural designs to versatile applications","volume":"477","author":"Zhao","year":"2023","journal-title":"Chem. Eng. J."},{"key":"10.1016\/j.compbiomed.2024.109090_bib68","series-title":"2019 IEEE 32nd International Conference on Micro Electromechanical Systems (MEMS)","first-page":"565","article-title":"A super-flexible and high-sensitive epidermal sEMG electrode patch for silent speech recognition","author":"Dong","year":"2019"},{"issue":"1","key":"10.1016\/j.compbiomed.2024.109090_bib69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41378-019-0127-5","article-title":"An epidermal sEMG tattoo-like patch as a new human\u2013machine interface for patients with loss of voice","volume":"6","author":"Liu","year":"2020","journal-title":"Microsystems & Nanoengineering"}],"container-title":["Computers in Biology and Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010482524011752?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010482524011752?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T02:53:04Z","timestamp":1732330384000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0010482524011752"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":70,"alternative-id":["S0010482524011752"],"URL":"https:\/\/doi.org\/10.1016\/j.compbiomed.2024.109090","relation":{},"ISSN":["0010-4825"],"issn-type":[{"type":"print","value":"0010-4825"}],"subject":[],"published":{"date-parts":[[2024,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Speech synthesis from three-axis accelerometer signals using conformer-based deep neural network","name":"articletitle","label":"Article Title"},{"value":"Computers in Biology and Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compbiomed.2024.109090","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"109090"}}