Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zeynab Raeesy"'
Autor:
Prashan Wanigasekara, Rafid Al-Humaimidi, Turan Gojayev, Niloofar Gheissari, Achal Dave, Stephen Rawls, Fan Yang, Kechen Qin, Nalin Gupta, Spurthi Sandiri, Chevanthie Dissanayake, Zeynab Raeesy, Emre Barut, Chengwei Su
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c579fc7978cd261e75bc53ddd0ed7e4
https://doi.org/10.1145/3543873.3584655
https://doi.org/10.1145/3543873.3584655
Autor:
Harish Arsikere, Gokce Keskin, Andreas Stolcke, Zeynab Raeesy, Jinxi Guo, Roland Maas, Ariya Rastrow, Xuesong Yang, Hu Hu
Publikováno v:
ICASSP
Accents mismatching is a critical problem for end-to-end ASR. This paper aims to address this problem by building an accent-robust RNN-T system with domain adversarial training (DAT). We unveil the magic behind DAT and provide, for the first time, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7ddd1b731461830010cf4b9cc202a15
https://doi.org/10.1109/icassp39728.2021.9414291
https://doi.org/10.1109/icassp39728.2021.9414291
Autor:
Mat Hans, Roland Maas, Sri Garimella, Chander Chandak, Ariya Rastrow, Markus Muller, Harish Arsikere, Ankish Bansal, Athanasios Mouchtaris, S. Murillo, Andreas Stolcke, Zeynab Raeesy, Nikhil Bhave, Siegfried Kunzmann, Surabhi Punjabi, Jasha Droppo
Publikováno v:
ICASSP
Conventional dynamic language switching enables seamless multilingual interactions by running several monolingual ASR systems in parallel and triggering the appropriate downstream components using a standalone language identification (LID) service. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ad6f5fb79319b8c8758e032cdba72c4
https://doi.org/10.1109/icassp39728.2021.9413734
https://doi.org/10.1109/icassp39728.2021.9413734
Autor:
Chengyuan Ma, Thomas Drugman, Zeynab Raeesy, Jiacheng Gu, Ariya Rastrow, Roland Maas, Kellen Gillespie, Bjorn Hoffmeister
Publikováno v:
SLT
This article presents a whisper speech detector in the far-field domain. The proposed system consists of a long-short term memory (LSTM) neural network trained on log-filterbank energy (LFBE) acoustic features. This model is trained and evaluated on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d4fed2b5f77d4abd0718af7d16601fc
https://doi.org/10.1109/slt.2018.8639614
https://doi.org/10.1109/slt.2018.8639614
Publikováno v:
ISBI
Magnetic resonance imaging (MRI) is widely applied as a safe and reliable method in studying the hidden mechanisms of human speech production. Automatic segmentation of vocal tract shape in MRI is a challenging task due to the dynamic nature of artic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc1a6ad1cc6fe9aca230a65384fcf32f
https://doi.org/10.1109/isbi.2013.6556777
https://doi.org/10.1109/isbi.2013.6556777
Autor:
Zeynab Raeesy
Magnetic resonance imaging (MRI) technology has facilitated capturing the dynamics of speech production at fine temporal and spatial resolutions, thus generating substantial quantities of images to be analysed. Manual processing of large MRI database
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::6fbbcde24379da67534a8d9ffe1ceecd
http://ora.ox.ac.uk/objects/uuid:ffa6d290-6920-4204-8d65-e4f2f09278c5
http://ora.ox.ac.uk/objects/uuid:ffa6d290-6920-4204-8d65-e4f2f09278c5
Publikováno v:
Interspeech 2011.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cfd11adf575764e0d02fdeb374e3400
https://doi.org/10.21437/interspeech.2011-714
https://doi.org/10.21437/interspeech.2011-714