- Which algorithm is best for audio classification?
- How do you classify audio data?
- What are the features for audio data?
Which algorithm is best for audio classification?
Convolutional Neural Networks (CNNs) have proven very effective in image classification and show promise for audio.
How do you classify audio data?
Audio classifications can be of multiple types and forms such as — Acoustic Data Classification or acoustic event detection, Music classification, Natural Language Classification, and Environmental Sound Classification. In this article, we will explore audio classification through a detailed hands-on project.
What are the features for audio data?
There are, in general, two types of audio features: the physical features and the perceptual features. Physical features refer to mathematical measurements computed directly from the sound wave, such as the energy function, the spectrum, the cepstral coefficients, the fundamental frequency, and so on.