Scalable Multilingual Retrieval of Lecture Moments Through Whisper-Based Transcripts and Vector Search

Educational video platforms host vast collections of long, speech-centric lectures, yet most search interfaces remain metadata-driven and return results at the video level, making it difficult for learners—especially non-English speakers—to locate the exact moment where a concept is ex...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Lazim Afraz, M. Aravind, Faheem Farooq, Muchenedi Hari MUCHENEDI
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	FAISS vector database multilingual video retrieval query processing semantic search speech recognition video indexing
Online-Zugang:	https://ieeexplore.ieee.org/document/11456535/
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