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  2. Mel-frequency cepstrum - Wikipedia

    en.wikipedia.org/wiki/Mel-frequency_cepstrum

    In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency.

  3. Mel scale - Wikipedia

    en.wikipedia.org/wiki/Mel_scale

    Plots of pitch mel scale versus hertz scale A440 Play ⓘ. 440 Hz = 549.64 mels. The mel scale (after the word melody) [1] is a perceptual scale of pitches judged by listeners to be equal in distance from one another.

  4. Constant-Q transform - Wikipedia

    en.wikipedia.org/wiki/Constant-Q_transform

    LibROSA combines the subsampled method with the direct fast Fourier transform method (which it dubs "pseudo-CQT") by having the latter process higher frequencies as a whole. [ 7 ] The sliding discrete Fourier transform can be used for faster calculation of constant-Q transform, since the sliding discrete Fourier transform does not have to be ...

  5. Cepstrum - Wikipedia

    en.wikipedia.org/wiki/Cepstrum

    In Fourier analysis, the cepstrum (/ ˈ k ɛ p s t r ʌ m, ˈ s ɛ p-,-s t r ə m /; plural cepstra, adjective cepstral) is the result of computing the inverse Fourier transform (IFT) of the logarithm of the estimated signal spectrum.

  6. Spectrogram - Wikipedia

    en.wikipedia.org/wiki/Spectrogram

    Spectrograms of light may be created directly using an optical spectrometer over time.. Spectrograms may be created from a time-domain signal in one of two ways: approximated as a filterbank that results from a series of band-pass filters (this was the only way before the advent of modern digital signal processing), or calculated from the time signal using the Fourier transform.

  7. Audio-visual speech recognition - Wikipedia

    en.wikipedia.org/wiki/Audio-visual_speech...

    In audio part we use features like log mel spectrogram, mfcc etc. from the raw audio samples and we build a model to get feature vector out of it . For visual part generally we use some variant of convolutional neural network to compress the image to a feature vector after that we concatenate these two vectors (audio and visual ) and try to ...

  8. Helicostyla - Wikipedia

    en.wikipedia.org/wiki/Helicostyla

    Helicostyla librosa (L. Pfeiffer, 1857) Helicostyla lignaria (L. Pfeiffer, 1842) Helicostyla macrostoma (L. Pfeiffer, 1843) Helicostyla marinduquensis (Hidalgo, 1887) Helicostyla mateoi (Bartsch, 1932) Helicostyla mearnsi Bartsch, 1905; Helicostyla mirabilis (Férussac, 1821) Helicostyla montana (C. Semper, 1877) Helicostyla mus (Delessert, 1841)

  9. Low Frequency Analyzer and Recorder - Wikipedia

    en.wikipedia.org/wiki/Low_Frequency_Analyzer_and...

    Lofargram produced by SOSUS LOFAR equipment. Low Frequency Analyzer and Recorder and Low Frequency Analysis and Recording (LOFAR) are the equipment and process respectively for presenting a visual spectrum representation of low frequency sounds in a time–frequency analysis.