Automatic video segmentation tool for laughter detection based on audio features
Non-linguistic signals, specifically, laughter offers a lot of information such as cues on the emotional state of a person a topic changes in meetings. The numerous benefits of laughter, ranging from identifying activities to improving speech-to-text accuracy, have gained the interests of many resea...
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Main Authors: | Bantiling, Hans Paulo, Gadi, Stefan Ron, Lee, Jasper Charles, Yang, John Vincent |
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Format: | text |
Language: | English |
Published: |
Animo Repository
2010
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Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/11194 |
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Institution: | De La Salle University |
Language: | English |
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