In this article we will talk about how to generate video highlight using the short time energy.
Answer : The short time energy is the energy of the short speech segment .
The energy or power of an audio signal refers to the loudness of the sound . It is computed by the sum of the square of the amplitude of an audio signal in the time domain . When energy is computed for a chunk of an entire audio signal , then it is known as Short Time Energy .
The best thing about this approach is you don't need training data for your model .Question : What is short time energy ?
Answer : The short time energy is the energy of the short speech segment .
The energy or power of an audio signal refers to the loudness of the sound . It is computed by the sum of the square of the amplitude of an audio signal in the time domain . When energy is computed for a chunk of an entire audio signal , then it is known as Short Time Energy .
Image Courtesy : https://www.analyticsvidhya.com
Basic Idea : Whenever an interesting events occurs , there is an increase in the voice as well as the spectators .Step By Step Process
- Input the Video
- Extract the audio
- Break the audio into chunks
- Compute short-time energy of every chunk
- Classify every chunk as excitement or not(based on a threshold value)
- Merge all the excitement-clips to form the video highlights
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