Voice vector

A voice vectorizer for the field of Automatic Speech Recognition (ASR) based on the key components of the MFCC (Mel-Frequency Cepstral Coefficients) process. The vectorizer extracts relevant features from an audio signal suitable for identifying meaningful content while discarding less valuable information, such as background noise, emotions, volume, pitch, and other extraneous factors.