We propose a class of features based on dynamics and harmonicity. In particular, we define the notion of harmonic derivative. The efficacy of the features is ...
We propose a class of features based on dynamics and harmonicity. In particular, we define the notion of harmonic derivative. The efficacy of the features is ...
Features are very important for audio processing. Tasks like speech recognition and instrument identification are based on features. Most low-level features ...
Features are very important for audio processing. Tasks like speech recognition and instrument identification are based on features. Most low-level features ...
ABSTRACT. Features are very important for audio processing. Tasks like speech recognition and instrument identification are based on features.
Human beings can separate audio inputs consisting of mul- tiple sources. This is informally called “cocktail party ef- fect”: a listener can selectively ...
Missing: features | Show results with:features
Harmonicity and dynamics-based features for audio. S. H. Srinivasan, Mohan S. Kankanhalli. Harmonicity and dynamics-based features for audio.
Harmonicity is a property that distinguishes periodic signals (harmonic sounds) from nonperiodic signals (inharmonic and noise-like sounds). Harmonics are ...
Harmonicity and dynamics-based features for audio. S. H. Srinivasan, Mohan S. Kankanhalli. Harmonicity and dynamics-based features for audio.
The compressor typically achieves this by emphasizing certain harmonics based on how the compressor is hitting the incoming signal. It's our job to make ...