Glossary → Voice & AI audio
Voice & AI audio

Mel spectrogram

A mel spectrogram is the time-frequency picture of audio that speech models actually consume — a spectrogram warped to the mel scale, which spaces frequencies the way human hearing does.

Nearly every modern speech model — Whisper included — reads mel spectrograms rather than raw waveforms. The representation compresses what matters perceptually into an image-like input neural networks handle well.

Related terms

Frequently asked

What is Mel spectrogram?

A mel spectrogram is the time-frequency picture of audio that speech models actually consume — a spectrogram warped to the mel scale, which spaces frequencies the way human hearing does.

Why does Mel spectrogram matter?

Nearly every modern speech model — Whisper included — reads mel spectrograms rather than raw waveforms. The representation compresses what matters perceptually into an image-like input neural networks handle well.

What terms are related to Mel spectrogram?

Closely related concepts: MFCC (Mel-frequency cepstral coefficients), Waveform, Frequency — each has its own entry in this glossary.