Automatic video assistant based on speech recognition and natural language processing
In modern life, people need to interact with various types of videos. In such a scenario, a tool capable of summarizing videos and answering related questions would significantly improve the efficiency of individuals across different industries. This project aims to build an automatic video assistan...
Main Author: | Zhou, Kaiyu |
---|---|
Other Authors: | Tan Yap Peng |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176430 |
Similar Items
-
Kinect-based automatic sign language recognition
by: Khor, Gladys Chiao Yuin
Published: (2018) -
Bayesian neural network language modeling for speech recognition
by: Xue, Boyang, et al.
Published: (2023) -
Federated learning for natural language processing in medical domain
by: Saraf, Ishita
Published: (2024) -
Vision-language-model-based video quality assessment
by: Zhang, Erli
Published: (2024) -
Web-based speech recognition platform - SG decoding
by: Tan, Hui Zhan
Published: (2022)