The AI & ML models for Audio Analysis are responsible for the segmentation, classification and recognition of audio sources that are present in our processing data.
It is also possible to generate synthetic music from real audio.
The information extracted could be directly logged, used or tagged as metadata.
Possible applications are (in combination with the other components of MuseBox):
Scene Detection and Classification
Gaming
Advertisement Recognition
Speech and Music segmentation
NLP
Behavioural Analysis
Supported Tasks
Audio Clustering It recognizes an audio in a stream from a given database
Audio Filtering It filters audio removing noise or background / foreground signals
Audio Scene Classification It classifies what a potential set could be for a given audio
Audio Segmentation It segments different audios that compose a stream
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