Automatic video segmentation tool for laughter detection based on audio features

• Main Authors: Bantiling, Hans Paulo, Gadi, Stefan Ron, Lee, Jasper Charles, Yang, John Vincent
• Format: text
• Language: English
• Published: Animo Repository 2010
• Subjects: Laughter; Nonverbal communication; Image processing > Digital techniques; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/11194
• Institution: De La Salle University

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...