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Speech vs Music Audio Classifier by neomat23 is a document available to read on EtoBox.

What is Speech vs Music Audio Classifier about?

1. The document discusses designing a classifier to identify whether an audio sample contains speech or music by analyzing short-time features extracted from the audio signal over frames of 50ms intervals. 2. Key features discussed for analysis include short-time energy variance, short-time autocorrelation, and zero crossing rate. 3. A decision tree classifier is constructed using these features to classify audio samples into speech or music based on thresholds learned from training data. The classifier

Author

neomat23

Language

EN