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Highlight sound effects detection in audio stream - IEEE ...
https://ieeexplore.ieee.org/document/1221242#:~:text=Highlight%20sound%20effects%20detection%20in%20audio%20stream.%20Abstract%3A,locates%20those%20highlight%20sound%20effects%20in%20audio%20stream.
Highlight sound effects detection in audio stream - IEEE ...
https://ieeexplore.ieee.org/document/1221242
Highlight sound effects detection in audio stream. Abstract: This paper addresses the problem of highlight sound effects detection in audio stream, which is very useful in fields of video summarization and highlight extraction. Unlike researches on audio segmentation and classification, in this domain, it just locates those highlight sound effects in audio stream.
(PDF) Highlight sound effects detection in audio stream
https://www.researchgate.net/publication/4027876_Highlight_sound_effects_detection_in_audio_stream
This paper addresses the problem of highlight sound effects detection in audio stream, which is very useful in fields of video summarization and highlight extraction. Unlike researches on audio ...
Highlight sound effects detection in audio stream | IEEE ...
https://ieeexplore.ieee.org/abstract/document/1221242/
Unlike researches on audio segmentation and classification, in this domain, it just locates those highlight sound effects in audio stream. An extensible framework is proposed and in current system three sound effects are considered: laughter, applause and cheer, which are tied up with highlight events in entertainments, sports, meetings and home videos.
HIGHLIGHT SOUND EFFECTS DETECTION IN AUDIO STREAM
http://hcsi.cs.tsinghua.edu.cn/Paper/Paper03/200306.pdf
extensible framework and an efficient algorithm for highlight sound effects detection in audio stream is presented. HMM is used to model these sound effects, as suggested in Casey s sound...
Highlight sound effects detection in audio stream
https://www.computer.org/csdl/proceedings-article/icme/2003/796537/12OmNxWLTwx
Unlike researches on audio segmentation and classification, in this domain, it just locates those highlight sound effects in audio stream. An extensible framework is proposed and in current system three sound effects are considered: laughter, applause and cheer, which are tied up with highlight events in entertainments, sports, meetings and home videos.
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