Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Gopala Krishna Anumanchipalli"'
Publikováno v:
Interspeech 2022.
In the articulatory synthesis task, speech is synthesized from input features containing information about the physical behavior of the human vocal tract. This task provides a promising direction for speech synthesis research, as the articulatory spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f3987a30bb3aa35135e69017d0a1f3a
https://doi.org/10.21437/interspeech.2022-10892
https://doi.org/10.21437/interspeech.2022-10892
Autor:
Gopala Krishna Anumanchipalli, Sean Metzger, Adelyn Tu-Chan, Pengfei Sun, Maximilian E. Dougherty, Edward F. Chang, Josh Chartier, Karunesh Ganguly, David A. Moses, Jessie R Liu, Gary W. Abrams, Patricia M Liu, Joseph G. Makin
Publikováno v:
The New England journal of medicine, vol 385, iss 3
BackgroundTechnology to restore the ability to communicate in paralyzed persons who cannot speak has the potential to improve autonomy and quality of life. An approach that decodes words and sentences directly from the cerebral cortical activity of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::828a8a291428baa57dd7370c0e236fc0
https://doi.org/10.1056/nejmoa2027540
https://doi.org/10.1056/nejmoa2027540
Disentangling content and speaking style information is essential for zero-shot non-parallel voice conversion (VC). Our previous study investigated a novel framework with disentangled sequential variational autoencoder (DSVAE) as the backbone for inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1dce21d558ad2b4aac98cb0a67bf2a9
http://arxiv.org/abs/2205.05227
http://arxiv.org/abs/2205.05227
Publikováno v:
Nature, vol 568, iss 7753
Technology that translates neural activity into speech would be transformative for people who are unable to communicate as a result of neurological impairments. Decoding speech from neural activity is challenging because speaking requires very precis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::182e0869d5899332a4bcd8b0c444dc09
https://doi.org/10.1038/s41586-019-1119-1
https://doi.org/10.1038/s41586-019-1119-1
Publikováno v:
Journal of neural engineering, vol 17, iss 6
J Neural Eng
J Neural Eng
Objective. Decoding language representations directly from the brain can enable new brain–computer interfaces (BCIs) for high bandwidth human–human and human–machine communication. Clinically, such technologies can restore communication in peop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5b0d378f4cd0cb27d0bea0d8aae762c
https://escholarship.org/uc/item/4q5284vz
https://escholarship.org/uc/item/4q5284vz
Publikováno v:
JAMA. 323(5)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96eb3f7cd7fd57af83ca86cfe7baa6db
https://pubmed.ncbi.nlm.nih.gov/31880768
https://pubmed.ncbi.nlm.nih.gov/31880768
Autor:
Maxime O. Baud, Edward F. Chang, Robert C. Knowlton, Jonathan K. Kleen, Yee Leng Tan, Gopala Krishna Anumanchipalli, Liberty S. Hamilton
Publikováno v:
Neurosurgery, vol 83, iss 4
Background Interictal epileptiform discharges are an important biomarker for localization of focal epilepsy, especially in patients who undergo chronic intracranial monitoring. Manual detection of these pathophysiological events is cumbersome, but is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69746633b352d0344d57745a180c5320
https://doi.org/10.1093/neuros/nyx480
https://doi.org/10.1093/neuros/nyx480
The ability to read out, or decode, mental content from brain activity has significant practical and scientific implications1. For example, technology that translates cortical activity into speech would be transformative for people unable to communic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d3b1c60ae4ab2211e2101c695598aad
Publikováno v:
Neuron, vol 98, iss 5
When speaking, we dynamically coordinate movements of our jaw, tongue, lips, and larynx. To investigate the neural mechanisms underlying articulation, we used direct cortical recordings from human sensorimotor cortex while participants spoke natural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5595ad512a93acd1a9bc7ab2f17f5267
https://europepmc.org/articles/PMC5992088/
https://europepmc.org/articles/PMC5992088/
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af008cf524c2bf306c5e92c046221528
https://doi.org/10.21437/interspeech.2015-140
https://doi.org/10.21437/interspeech.2015-140