Mel-Frequency Cepstral Coefficients

Mel-Frequency Cepstral Coefficients (MFCCs) are features used to analyze and recognize speech sounds. They work by mimicking how the human ear perceives sound frequencies, emphasizing certain ranges more than others. The process involves capturing the audio, breaking it down into small parts, and then transforming those sounds into a compact set of numbers that describe the unique qualities of speech. These numbers help computers distinguish different voices and spoken words efficiently, making MFCCs a key tool in speech recognition systems and voice analysis.