[HTML][HTML] A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech
M Ruthven, ME Miquel, AP King - Biomedical Signal Processing and …, 2023 - Elsevier
Objective Dynamic magnetic resonance (MR) imaging enables visualisation of articulators
during speech. There is growing interest in quantifying articulator motion in two-dimensional …
during speech. There is growing interest in quantifying articulator motion in two-dimensional …
[PDF][PDF] Impact of preprocessing features on the performance of ultrasound tongue contour tracking, via dynamic programming
L Czap - Acta Polytech. Hung, 2021 - researchgate.net
The automated assessment of ultrasound images for speech processing is a difficult
process. The number of frames processed, amounts to several hundred thousand, this …
process. The number of frames processed, amounts to several hundred thousand, this …
Expressivity transfer in deep learning based text-to-speech synthesis
A Kulkarni - 2022 - hal.science
Recently, text-to-speech (TTS) synthesis has gained immense success in the
humancomputer interaction domain. Current TTS systems are monotonous due to the …
humancomputer interaction domain. Current TTS systems are monotonous due to the …
Artikulációs fonetikai jellemzők verifikálása kvantitatív adatokkal
R Trencsényi, L Czap - Beszédtudomány-Speech Science, 2021 - ojs.mtak.hu
A tanulmány célja az artikuláció fonetikai jellemzőinek kvantitatív adatokkal történő
alátámasztása, ami által lehetővé válik a vizémák (a fonémák vizuális megfelelői) …
alátámasztása, ami által lehetővé válik a vizémák (a fonémák vizuális megfelelői) …
[引用][C] MultiSpeech–Inria et IADI-INSERM U1254–Nancy, France Pierre-André Vuissoz (pa. vuissoz@ chru-nancy. fr) and Yves Laprie (Yves. Laprie@ loria. fr) …
L Loria