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Data · dataset · 2026

Bangla Lip-to-Text Sentence Level Dataset (Processed)

Listed in Teesside University Research Data Repository

The dataset is created as follows: Step 1: Original Bangla videos were collected from YouTube Bangladesh National Television Debates and Talk Shows.

Description

Step 2: Original videos are cut into 3-second duration mini videos. Step 3: Face area from each frame of these mini videos is segmented using MediaPipe FaceMesh.

Step 4: Only those videos were chosen in which all of the frames contain exactly one face. Step 5: Audios are cut and embedded in the chosen videos (folder: Face_Only_Videos_with_Audio). Step 6: Bangla audio-to-text transcriptions of the chosen videos were generated using the Wav2Vec2 foundation model pre-trained on the Mozilla 300m Bengali Commonvoice dataset (folder: First_Transcriptions).

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Step 7: Videos with no transcription texts were filtered out. Step 8: A simplified transliteration for each of the translations was created (folder: Transliteration_Informal). This dataset contains only 25fps videos, has both cropped out lip videos and face videos, has all the align files in character level, has metadata, and a json file for corresponding the transcripts.

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Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/wwg9kgb8cn.112 h agoJSON v1
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concepts[field].anzsrc:field:460309mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Video Processing']
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