The issue of Quranic verses misinterpretation by Samina Ali in the TEDx Talk Channel by Abd. Razzak, Monika @ Munirah, Elias, Nurul Afifah, Ab. Rahim, Nik Mohd. Zaim

“…This study discussed the issues raised by Samina Ali in the TEDx Talks channel. The methodology used was a qualitative design using content analysis as the data analysis method. …”

THE TEXTUAL THEME POTRAYED ON THE TALKS OF EDUCATION IN THE INDONESIAN TEDX: A SYSTEMIC FUNCTIONAL LINGUISTICS APPROACH by Danang Satria Nugraha

“… This study sought to describe education-related conversations or talks of education (TE) from a systemic functional linguistics (SFL) perspective, focusing on how textual themes were deployed by speakers. TEDx talk, a reliable online source, was chosen as the source for the data used to support this study. …”
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Deep audio-visual speech recognition by Afouras, T, Chung, J, Senior, A, Vinyals, O, Zisserman, A

“…Both models are built on top of the transformer self-attention architecture; (2) we investigate to what extent lip reading is complementary to audio speech recognition, especially when the audio signal is noisy; (3) we introduce and publicly release two new datasets for audio-visual speech recognition: LRS2-BBC, consisting of thousands of natural sentences from British television; and LRS3-TED, consisting of hundreds of hours of TED and TEDx talks obtained from YouTube. The models that we train surpass the performance of all previous work on lip reading benchmark datasets by a significant margin.…”

MulTed: a multilingual aligned and tagged parallel corpus by Imad Zeroual, Abdelhak Lakhouaja

“…In this paper, the MulTed, a corpus of subtitles extracted from TEDx talks is introduced. It is multilingual, Part of Speech (PoS) tagged, and bilingually sentence-aligned with English as a pivot language. …”
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