Replicating Research Feature Vectors of Audio Samples

1. How to extract features from an audio file in Matlab?
2. What is PLP features?
3. What is the most commonly used feature in speech applications?

How to extract features from an audio file in Matlab?

Call extract to extract the audio features from the audio signal. features = extract(aFE,audioIn); Use info to determine which column of the feature extraction matrix corresponds to the requested pitch extraction. Plot the detected pitch over time.

What is PLP features?

Perceptual linear prediction (PLP) technique combines the critical bands, intensity-to-loudness compression and equal loudness pre-emphasis in the extraction of relevant information from speech.

What is the most commonly used feature in speech applications?

By far, the most commonly used speech characteristics are Linear Prediction Cepstrum Coefficient (LPCC) [1] and MEL Cepstrum coefficient (MFCC) [2]. All of them have achieved good recognition effect in speech recognition.