PLCMOS -- a data-driven non-intrusive metric for the evaluation of packet loss concealment algorithms

Autor: Diener, Lorenz, Purin, Marju, Sootla, Sten, Saabas, Ando, Aichner, Robert, Cutler, Ross

Speech quality assessment is a problem for every researcher working on models that produce or process speech. Human subjective ratings, the gold standard in speech quality assessment, are expensive and time-consuming to acquire in a quantity that is

Externí odkaz: http://arxiv.org/abs/2305.15127

A runtime cache for interactive procedural modeling

Autor: Reiner, Tim, Lefebvre, Sylvain, Diener, Lorenz, García, Ismael, Jobard, Bruno, Dachsbacher, Carsten

Publikováno v: In Computers & Graphics August 2012 36(5):366-375

Voice Restoration with Silent Speech Interfaces (ReSSInt)

Autor: Hernáez Rioja, Inma, González López, José Andrés, Navas, Eva, Pérez-Córdoba, José L, Saratxaga, Ibon, Olivares, Gonzalo, Sanchez, Jon, Galdón, Alberto, García Romillo, Víctor, Gónzalez Atienza, Míriam, Schultz, Tanja, Wand, Michael, Marxer, Ricard, Diener, Lorenz

Publikováno v: Digibug. Repositorio Institucional de la Universidad de Granada
instname
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)

ReSSInt aims at investigating the use of silent speech interfaces (SSIs) for restoring communication to individuals who have been deprived of the ability to speak. SSIs are devices which capture non-acoustic biosignals generated during the speech pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a9e711c01995a2e0c840b5f3b215dba2
http://hdl.handle.net/10481/66646

Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices

Autor: Herff, Christian, Diener, Lorenz, Angrick, Miguel, Mugler, Emily M., Tate, Matthew C., Goldrick, Matthew A., Krusienski, Dean J., Slutzky, Marc W., Schultz, Tanja

Publikováno v: Frontiers in Neuroscience
Frontiers in Neuroscience, 13:1267. Frontiers Media S.A.

Neural interfaces that directly produce intelligible speech from brain activity would allow people with severe impairment from neurological disorders to communicate more naturally. Here, we record neural population activity in motor, premotor and inf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::1c82c31304f0d471a772e484b91ac7a0
http://europepmc.org/articles/PMC6882773

Direct conversion from facial myoelectric signals to speech using Deep Neural Networks.

Autor: Diener, Lorenz, Janke, Matthias, Schultz, Tanja

Publikováno v: 2015 25th International Conference on Field Programmable Logic & Applications (FPL); 2015, p1-7, 7p