MFCCs

Mel-Frequency Cepstral Coefficients (MFCCs) are features used to represent the unique qualities of a speech signal. They work by transforming the sound into a form that highlights how humans perceive pitch and tone, emphasizing frequencies relevant to human hearing. The process involves filtering the sound to mimic the ear's response, then converting this information into a compact set of coefficients that capture the speech's timbre and characteristics. MFCCs are widely used in speech recognition and speaker identification because they efficiently encapsulate the essential qualities of spoken words.