melfrekvenciakiegyenlített

Melfrekvenciakiegyenlített is a Hungarian term that translates to "Mel-frequency cepstral coefficient" in English. It refers to a set of parameters used in audio signal processing and speech recognition. These coefficients represent the short-term power spectrum of a sound, based on a linear cosine transform of a log-power spectrum on a non-linear Mel scale of frequency. The Mel scale is a perceptual scale of pitches judged by listeners to be equal in distance from one another. This non-linear mapping is crucial because human hearing is more sensitive to changes in frequency at lower frequencies than at higher frequencies.

MFCCs are widely used in automatic speech recognition (ASR) systems because they effectively capture the characteristics of the human vocal tract, which are important for distinguishing different speech sounds. They are also employed in music information retrieval, speaker recognition, and other audio analysis tasks. The process of calculating MFCCs typically involves several steps: taking the Fourier transform of a short segment of the signal, mapping the energies onto the Mel scale, taking the logarithm of these energies, and finally taking the discrete cosine transform (DCT) of the log energies. The result is a set of coefficients that are relatively uncorrelated and capture essential spectral information.