- What is the best model for audio classification?
- How do you classify an audio signal?
- What is a sound event?
- What is audio event detection?
What is the best model for audio classification?
In the past decade, convolutional neural networks (CNNs) have been widely adopted as the main building block for end-to-end audio classification models, which aim to learn a direct mapping from audio spectrograms to corresponding labels.
How do you classify an audio signal?
There are two different types of audio signals: Analog and Digital signals.
What is a sound event?
A sound or sound sequence in its spatial and temporal context as part of a SOUNDSCAPE.
What is audio event detection?
Sound Event Detection (SED) is the task of recognizing the sound events and their respective temporal start and end time in a recording. Sound events in real life do not always occur in isolation, but tend to considerably overlap with each other. Recognizing such overlapping sound events is referred as polyphonic SED.